The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.
Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration
Open accessAbstract
Artificial intelligence (AI) has elicited much attention across disciplines and industries (Hyder et al., Citation2019). AI has been defined as “a system’s ability to correctly interpret external data, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptation” (Kaplan & Haenlein, Citation2019, p. 15). AI has gone through several development stages and AI winters. In the first two decades (i.e., 1950s and 1960s), AI demonstrated success which included programs such as General Problem Solver (Newell et al., Citation1959) and ELIZA (Weizenbaum, Citation1966). However, limitations in processing capacity and reduced spending on AI turned its development into stagnation. In recent years, AI has made a comeback with the introduction of AlphaGo in 2015 and ChatGPT in 2022. Following the release of the application named “Chat Generative Pre-trained Transformer” or ChatGPT by OpenAI in late 2022, AI has attracted worldwide attention.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The text we found for this paper looks like another document, so the self-check wasn’t run.
Citations
Cites
Generative adversarial networks
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2020) · Communications of the ACM · doi:10.1145/3422622 · Cited by 18,384
A fast learning algorithm for deep belief nets
Hinton, G. E., Osindero, S., & Teh, Y.-W. (2006) · Neural Computation · doi:10.1162/neco.2006.18.7.1527 · Cited by 16,336
Advances in Neural Information Processing Systems 29
Teymur, O., Zygalakis, K., & Calderhead, B. (2016) · Cited by 13,881
Rudin, C. (2019) · Nature Machine Intelligence · doi:10.1038/s42256-019-0048-x · Cited by 10,561
ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education
Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., et al. (2023) · doi:10.35542/osf.io/5er8f · Cited by 7,552
ChatGPT for good? On opportunities and challenges of large language models for education
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., et al. (2023) · Learning and Individual Differences · doi:10.1016/j.lindif.2023.102274 · Cited by 7,326
Survey of Hallucination in Natural Language Generation
Ji, Z., Lee, N., Frieske, R., Yu, T., Su, D., Xu, Y., Ishii, E., Bang, Y. J., Madotto, A., & Fung, P. (2023) · ACM Computing Surveys · doi:10.1145/3571730 · Cited by 5,025
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., et al. (2023) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2023.102642 · Cited by 4,584
ELIZA—a computer program for the study of natural language communication between man and machine
Weizenbaum, J. (1966) · Communications of the ACM · doi:10.1145/365153.365168 · Cited by 4,452
Kung, T. H., Cheatham, M., Medenilla, A., Sillos, C., De Leon, L., Elepaño, C., Madriaga, M., Aggabao, R., Diaz-Candido, G., Maningo, J., et al. (2023) · PLOS Digital Health · doi:10.1371/journal.pdig.0000198 · Cited by 4,115
Research works printed but not linked: 20
- Alkaissi H., 2023, Cureus, 15, 1
- Berg A., 2016, Finance & Development, 53, 10
- Bozkurt A., 2023, Asian Journal of Distance Education, 18, 1
- Bridy A., 2012, Stanford Technology Law Review, 5, 1
- Chan G. K., 2022, AI & Society, 1
- Deeks A., 2019, Columbia Law Review, 119, 1829
- Firat M., 2023, OSF Preprints, 1
- Flyverbom M., 2016, International Journal of Communication, 10, 110
- Gillotte J. L., 2019, UC Davis L Rev, 53, 2655
- Hu G., 2023, Accountability in Research, 1
- Kroll, J. A. (2015). Accountable Algorithms (Doctoral dissertation, Princeton University).
- Monarch R., 2021, Human-in-the-loop machine learning
- Murray M. D., 2023, Hastings Communications & Entertainment Law Journal, 45, 27
- Newell A., 1959, Proceedings of the International Conference on Information Processing, 256
- Ray S., 2023, Forbes
- Salakhutdinov R., 2010, Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 693
- Shubhendu S., 2013, International Journal of Scientific Engineering and Research, 1, 28
- Siau K., 2018, The Global Analyst, 7, 22
- Smolensky P., 1986, Parallel distributed processing, 194
- Su J., 2023, ECNU Review of Education, 1
Cited by
Sorted by citations
Items 301–400 of 1,004
Doctoral Programme in Education Science Universitas Pendidikan Ganesha, S., & Turmuzi, M. (2024) · International Journal of Information and Education Technology · doi:10.18178/ijiet.2024.14.5.2097 · Cited by 18
Yang, W. (2024) · PLoS ONE · doi:10.1371/journal.pone.0306639 · Cited by 18
Why Should Users Take the Risk of Sustainable Use of Generative Artificial Intelligence Chatbots
Wamba-Taguimdje, S.-L., Wamba, S. F., & Twinomurinzi, H. (2024) · Journal of Global Information Management · doi:10.4018/jgim.365600 · Cited by 22
Revolutionizing finance with conversational AI: a focus on ChatGPT implementation and challenges
Chen, Z. (2025) · Humanities and Social Sciences Communications · doi:10.1057/s41599-025-04725-y · Cited by 14
Chen, J., Mokmin, N. A. M., & Qi, S. (2025) · The Journal of Educational Research · doi:10.1080/00220671.2025.2510395 · Cited by 15
Stamkou, C., Saprikis, V., Fragulis, G. F., & Antoniadis, I. (2025) · Data · doi:10.3390/data10060089 · Cited by 13
AI assistance in enterprise UX design workflows: enhancing design brief creation for designers
Zhu, Z., Lee, H., Pan, Y., & Cai, P. (2024) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2024.1404647 · Cited by 23
Zhao, H., & Wu, P. (2025) · Journal of Occupational and Environmental Medicine · doi:10.1097/jom.0000000000003335 · Cited by 16
Ayanwale, M. A., Adelana, O. P., Bamiro, N. B., Olatunbosun, S. O., Idowu, K. O., & Adewale, K. A. (2025) · F1000Research · doi:10.12688/f1000research.161637.1 · Cited by 15
Generative AI and News Consumption: Design Fictions and Critical Analysis
Kiskola, J., Rydenfelt, H., Olsson, T., Haapanen, L., Vänttinen, N., Nelimarkka, M., Saariketo, M., Laaksonen, S.-M., & Lehtiniemi, T. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713804 · Cited by 13
CreAItive Collaboration? Users' Misjudgment of AI-Creativity Affects Their Collaborative Performance
Bangerl, M. M., Disch, L., David, T., & Pammer-Schindler, V. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713886 · Cited by 13
Can generative AI Be an effective Co-Teacher? An experiment
Niloy, A. C., Akter, S., Sultana, J., Rahman, M. A., Sultana, N., Islam, T., Isha, N. J., Afroz, M., Zabeen, M., Tabassum, M., et al. (2025) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2025.100418 · Cited by 18
Comparative analysis of ChatGPT 3.5 and ChatGPT 4 obstetric and gynecological knowledge
Ługowski, F., Babińska, J., Ludwin, A., & Stanirowski, P. J. (2025) · Scientific Reports · doi:10.1038/s41598-025-08424-1 · Cited by 13
Zhang, Y., Hsieh, C., & Liu, F. (2025) · Public Performance & Management Review · doi:10.1080/15309576.2025.2537107 · Cited by 14
Zhu, Y., Wen, F., Wu, J., Huang, P., & Zhang, Y. (2025) · Nurse Education Today · doi:10.1016/j.nedt.2025.106855 · Cited by 17
Aramali, V., Cho, N., Pande, F., Al-Mhdawi, M. K. S., Ojiako, U., & Qazi, A. J. (2025) · Project Leadership and Society · doi:10.1016/j.plas.2025.100191 · Cited by 27
Younas, M. S., Ismayil, I., El‐Dakhs, D. A. S., Anwar, B., & Noor, U. (2025) · Frontiers in Education · doi:10.3389/feduc.2025.1670892 · Cited by 13
Leveraging Generative AI for sustainable supply chain: adoption challenges and strategic insights
Maghroor, H. R., Madanchi, F., & O’Neal, T. (2025) · Production Planning & Control · doi:10.1080/09537287.2025.2561967 · Cited by 16
Use of ChatGPT in Higher Education: A Study with Graduate Students
Costa, R., Costa, A. L., & Carvalho, A. A. A. (2024) · EAI/Springer Innovations in Communication and Computing · doi:10.1007/978-3-031-52296-3_7 · Cited by 15
Нестеров, В. (2023) · Вісник Черкаського державного технологічного університету · doi:10.62660/2306-4412.4.2023.82-90 · Cited by 21
Önden, A., Kara, K., Önden, İ., Yalçın, G. C., Šimić, V., & Pamucar, D. S. (2024) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2024.108378 · Cited by 13
Exploring AI media. Definitions, conceptual model, research agenda
Fehér, K. (2024) · Journal of Media Business Studies · doi:10.1080/16522354.2024.2340419 · Cited by 13
Goel, R. K., & Nelson, M. A. (2024) · The Journal of Technology Transfer · doi:10.1007/s10961-024-10089-3 · Cited by 14
Generative AI in Hotel Marketing
Almeida, S., & Ivanov, S. H. (2024) · Tourism · doi:10.37741/t.72.3.10 · Cited by 14
Grimme, M., & Zabel, C. (2024) · Journal of Media Business Studies · doi:10.1080/16522354.2024.2380120 · Cited by 11
Navigating the integration of ChatGPT in UAE’s government sector: challenges and opportunities
Goher, G. (2024) · Digital Transformation and Society · doi:10.1108/dts-03-2024-0024 · Cited by 15
Herman, E., Nicholas, D., Abrizah, A., Revez, J. M. R., Bravo, B. R., Świgoń, M., Clark, D., Xu, J., & Watkinson, A. (2024) · Learned Publishing · doi:10.1002/leap.1623 · Cited by 15
Artificial Intelligence and Consumer’s Perception: A Research on Environmentally Conscious Consumer
Bhatnagar, A., & Sharma, M. (2024) · Journal of Metaverse · doi:10.57019/jmv.1488022 · Cited by 22
Analyzing AI use policy in LIS: association with journal metrics and publisher volume
Kim, E. (2024) · Scientometrics · doi:10.1007/s11192-024-05189-8 · Cited by 13
Exploring the use of generative AI for material texturing in 3D interior design spaces
Gallega, R. W., & Sumi, Y. (2024) · Frontiers in Computer Science · doi:10.3389/fcomp.2024.1493937 · Cited by 18
Beyond borders or building new walls?
Tran, H., & Stell, A. (2024) · Australian Review of Applied Linguistics · doi:10.1075/aral.24135.tra · Cited by 13
Zhou, J., & Zhang, H. (2025) · Applied Sciences · doi:10.3390/app15073886 · Cited by 17
Kumar, S., & Malhotra, D. (2025) · Tourism Recreation Research · doi:10.1080/02508281.2025.2503997 · Cited by 13
Generative AI: a problematic illustration of the intersections of racialized gender, race, ethnicityPreprint
Hosseini, D. (2024) · OSF Preprints (OSF Preprints) · doi:10.31219/osf.io/987ra · Cited by 15
AITurk: Using ChatGPT for Social Science ResearchPreprint
Qin, X., Huang, M., & Ding, J. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4922861 · Cited by 14
Song, X., Zhang, Y., Lu, Z., Xu, L., & Shen, H. (2026) · Computers & Education · doi:10.1016/j.compedu.2026.105578 · Cited by 12
Yang, W., Lü, Y., Yeom, S., & Herbert, D. (2025) · IEEE Access · doi:10.1109/access.2025.3622002 · Cited by 13
Zhang, Z., Dai, Y., Guo, J., Zhang, H., Shen, Y., & Xiao, H. (2025) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2025.104392 · Cited by 14
Wu, X., Tran, T. T. M., Zhou, Q., Sun, J., Wu, H., & Wang, X. (2026) · Education and Information Technologies · doi:10.1007/s10639-026-13914-4 · Cited by 13
Preliminary Systematic Review of Open-Source Large Language Models in Education
Lin, M. P.-C., Chang, D., Hall, S., & Jhajj, G. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-63028-6_6 · Cited by 12
Hutt, S. J., & Hieb, G. (2024) · ACM Conference on Learning @ Scale (L@S) · doi:10.1145/3657604.3664699 · Cited by 13
Leveraging ChatGPT in public sector human resource management education
Allgood, M., & Musgrave, P. (2024) · Journal of Public Affairs Education · doi:10.1080/15236803.2024.2370455 · Cited by 12
User Preferences on a Generative AI User Interface Through a Choice Experiment
Yeon, J., Jung, Y., Baek, Y., Lee, D., Shin, J., & Chung, W. Y. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2400379 · Cited by 14
Harnessing Generative AI for Enhanced Web Application Security
Tariq, M. U. (2024) · Advances in web technologies and engineering book series · doi:10.4018/979-8-3693-3703-5.ch008 · Cited by 12
Teoh, J., Zulkoffli, Z., Yap, K. M., & Chua, H. S. (2024) · IEEE Access · doi:10.1109/access.2024.3498893 · Cited by 17
The use of generative artificial intelligence in surgical education: a narrative review
Rao, L., Yang, E., Dissanayake, S., Cuomo, R., Seth, I., & Rozen, W. M. (2024) · Plastic and Aesthetic Research · doi:10.20517/2347-9264.2024.102 · Cited by 13
Performance of GPT-3.5 and GPT-4 on the Korean Pharmacist Licensing Examination: Comparison Study
Jin, H. K., & Kim, E. Y. (2024) · JMIR Medical Education · doi:10.2196/57451 · Cited by 11
Yakin, A. M. A., Muthmainnah, M., Apriani, E., Obaid, A. J., & Elngar, A. A. (2023) · Idarah (Jurnal Pendidikan dan Kependidikan) · doi:10.47766/idarah.v7i2.1514 · Cited by 25
Joshi, R., Pandey, K., & Kumari, S. (2025) · doi:10.1002/9781394271078.ch7 · Cited by 12
A commentary on sexting, sextortion, and generative AI : Risks, deception, and digital vulnerability
Pater, J., McDaniel, B. T., Nova, F. F., Drouin, M., O'Connor, K., & Zytko, D. (2025) · Family Relations · doi:10.1111/fare.13152 · Cited by 11
Revolutionizing Healthcare with Generative Artificial Intelligence Technologies
Rashidieranjbar, F., Farhadi, A., & Zamanifar, A. (2025) · Information systems engineering and management · doi:10.1007/978-3-031-76710-4_10 · Cited by 15
Fuzzing frameworks for server-side web applications: a survey
Dharmaadi, I. P. A., Athanasopoulos, E., & Türkmen, F. (2025) · International Journal of Information Security · doi:10.1007/s10207-024-00979-w · Cited by 18
Human-AI in affordance perspective: a study on ChatGPT users in the context of Indonesian users
Haqqu, R., Zahrani, A. R., Wulandari, A., Ersyad, F. A., & Adim, A. K. (2025) · Frontiers in Computer Science · doi:10.3389/fcomp.2025.1623029 · Cited by 13
Content creators’ hopes and fears about artificial intelligence
Are, C., Briggs, P., & Brown, R. D. (2025) · Convergence The International Journal of Research into New Media Technologies · doi:10.1177/13548565251372830 · Cited by 11
Text Classification for AI Generated Content with Machine Learning and Deep Learning Models
Sharimbayev, B., & Kadyrov, S. (2025) · IEEE International Conference on Smart Information Systems and Technologies (SIST) · doi:10.1109/sist61657.2025.11139329 · Cited by 11
Tribal Knowledge Cocreation in Generative Artificial Intelligence Systems
Wang, Y.-F., Chen, Y.-C., Huang, Y.-C., Redwing, C., & Tsai, C.-H. (2024) · Proceedings of the 25th Annual International Conference on Digital Government Research · doi:10.1145/3657054.3657129 · Cited by 11
On-chain zero-knowledge machine learning: An overview and comparison
Keršič, V., Karakatič, S., & Turkanović, M. (2024) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2024.102207 · Cited by 11
Generative artificial intelligence and social media: insights for tobacco control
Kong, G., Ouellette, R. R., & Murthy, D. (2024) · Tobacco Control · doi:10.1136/tc-2024-058813 · Cited by 11
Personalizing AI tools for second language speaking: the role of gender and autistic traits
Du, Y., Wang, C., Zou, B., Ran, Z., Xia, Y., Ji, Y., Liu, Z., & Yan, Z. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1464575 · Cited by 13
Mishra, A. N., Sengupta, P., Biswas, B. N., Kumar, A., & Coussement, K. (2025) · Journal of Business Research · doi:10.1016/j.jbusres.2025.115330 · Cited by 11
Dieing, T. I. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-88045-2_11 · Cited by 11
How do ChatGPT's benefit–risk-coping paradoxes impact higher education in Taiwan and Indonesia?
Panggabean, E. M., & Silalahi, A. D. K. (2025) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2025.100412 · Cited by 24
Generative AI and Empirical Research Methods in Operations Management
Shalpegin, T., Browning, T. R., Kumar, A., Shang, G., Thatcher, J. B., Fransoo, J. C., Holweg, M., & Lawson, B. (2025) · Journal of Operations Management · doi:10.1002/joom.1371 · Cited by 12
Wang, J., & Chuanbo, Z. (2025) · SAGE Open · doi:10.1177/21582440251342464 · Cited by 15
Kayyali, M. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-8332-2.ch002 · Cited by 11
The psychological mechanism of value co-creation with human-centred generative AI robot assistants
Li, Z., Yuen, K. F., & Teo, C. (2025) · Technology in Society · doi:10.1016/j.techsoc.2025.103015 · Cited by 11
Wang, P., Khinvasara, Y., Creijghton, G. J., Scholing, T., Wang, Y., Zhou, Z., Childs, P., & Yin, Y. (2025) · Artificial intelligence for engineering design analysis and manufacturing · doi:10.1017/s0890060425100127 · Cited by 20
Innovative Livestock: A Survey of Artificial Intelligence Techniques in Livestock Farming Management
Mijwil, M. M., Adelaja, O. A., Badr, A., Ali, G., Buruga, B. A., & Pudasaini, P. (2023) · Wasit Journal of Computer and Mathematics Science · doi:10.31185/wjcms.206 · Cited by 11
From humans to AI: understanding why AI is perceived as the preferred co-creation partner
Liu, Y., Yang, Y., & Xu, H. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1695532 · Cited by 10
Geospatial Artificial Intelligence (GeoAI) Is Widening the Digital Divide
Huang, X. (2025) · Annals of the American Association of Geographers · doi:10.1080/24694452.2025.2527316 · Cited by 10
Klenam, D. E. P. (2025) · Next research. · doi:10.1016/j.nexres.2025.101157 · Cited by 8
Viljakainen, A., Silmukari, J., Roto, V., Čaić, M., & Aromaa, S. (2025) · Behaviour and Information Technology · doi:10.1080/0144929x.2025.2596889 · Cited by 12
de Souza, B. C., Neto, A. S. D. A., & Roazzi, A. (2024) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2024.100042 · Cited by 16
Revolutionizing Content Creation and Curriculum Development Through Generative AI
Singha, S., & Singha, R. (2024) · Advances in educational technologies and instructional design book series · doi:10.4018/979-8-3693-1351-0.ch013 · Cited by 11
How Can Generative AI Enhance the Well-being of Blind?
Bendel, O. (2024) · Proceedings of the AAAI Symposium Series · doi:10.1609/aaaiss.v3i1.31232 · Cited by 10
Academic integrity and the use of ChatGPT by EFL pre-service teachers
Khasawneh, M. A. S. (2024) · Journal of Infrastructure Policy and Development · doi:10.24294/jipd.v8i7.4783 · Cited by 25
User satisfaction with the service quality of ChatGPT
Young, K. S., Lee, S.-G., & Hong, G. Y. (2024) · Service Business · doi:10.1007/s11628-024-00566-y · Cited by 10
Barrot, J. S. (2024) · Springer eBooks · doi:10.1007/978-3-031-67667-3_13 · Cited by 10
Zhou, S. (2024) · Journal of Decision System · doi:10.1080/12460125.2024.2428999 · Cited by 13
A psychometric analysis of the artificial intelligence skills scale developed through chat gpt
Görgülü, D., Coşkun, F., Demi̇r, M., & Si̇pahi̇oğlu, M. (2025) · Education and Information Technologies · doi:10.1007/s10639-024-13294-7 · Cited by 11
Generative AI Implementation and Assessment in Arabic Language Teaching
Alkaabi, M. H., & Almaamari, A. S. (2025) · International Journal of Online Pedagogy and Course Design · doi:10.4018/ijopcd.368037 · Cited by 37
Kindenberg, B. (2025) · Education Sciences · doi:10.3390/educsci15020192 · Cited by 14
Gen-Optimizer: A Generative AI Framework for Strategic Business Cost Optimization
Faruqui, N., Raju, N. V. D. S. S. V. P., Sivakumar, S., Patel, N., Bhaskaran, S. V., Khanam, S., & Bhuiyan, T. (2025) · De Computis · doi:10.3390/computers14020059 · Cited by 12
Zhang, C. (., Wang, L. H., & Rice, R. E. (2025) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2025.100385 · Cited by 21
Robinson, K. S. L., Bontekoe, K., & Muellenbach, J. M. (2025) · Journal of the Medical Library Association JMLA · doi:10.5195/jmla.2025.2022 · Cited by 10
Integrity and Misconduct, Where Does Artificial Intelligence Lead?
Nicholas, D., Herman, E., Clark, D., Abrizah, A., Revez, J. M. R., Bravo, B. R., Świgoń, M., Xu, J., & Watkinson, A. (2025) · Learned Publishing · doi:10.1002/leap.2013 · Cited by 10
Akaygün, S., & Kılıç, İ. (2025) · Journal of Chemical Education · doi:10.1021/acs.jchemed.4c00775 · Cited by 16
He, K., Liu, X., Xu, Y., Bustamante, A. S., & Warschauer, M. (2025) · ACM International Conference on Interaction Design and Children (IDC) · doi:10.1145/3713043.3727056 · Cited by 15
Generative AI Integration in K-12 Settings: Teachers’ Perceptions and Levels of Integration
An, Y., & James, S. (2025) · TechTrends · doi:10.1007/s11528-025-01114-9 · Cited by 26
Leveraging Generative AI for Public Service Innovation: A Path to Smart Government in Indonesia
Alamsyah, A., & Aryfiyanto, H. (2025) · Digital Government Research and Practice · doi:10.1145/3761820 · Cited by 19
Pudasaini, S., Miralles-Pechuán, L., Lillis, D., & Salvador, M. L. (2024) · arXiv · doi:10.48550/arxiv.2407.13105 · Cited by 8
Use of Generative AI Tools to Facilitate Personalized Learning in the Flipped Classroom
Zhen, H., & Yahaya, W. A. J. W. (2024) · Advances in educational technologies and instructional design book series · doi:10.4018/979-8-3693-1351-0.ch016 · Cited by 9
Boundaries and Future Trends of ChatGPT Based on AI and Security Perspectives
Alsumayt, A., Alfawaer, Z. M., El-Haggar, N., Alshammari, M., Alghamedy, F. H., Aljameel, S. S., Alabbad, D. A., & Aldossary, M. I. (2024) · HighTech and Innovation Journal · doi:10.28991/hij-2024-05-01-010 · Cited by 10
Penggunaan ChatGPT di Kalangan Mahasiswa dan Dosen Perguruan Tinggi Indonesia
Niyu, N., Dwihadiah, D. L., Gerungan, A., & Purba, H. (2024) · CoverAge Journal of Strategic Communication · doi:10.35814/coverage.v14i2.6058 · Cited by 43
Kox, E. S., & Beretta, B. (2024) · Frontiers in artificial intelligence and applications · doi:10.3233/faia240194 · Cited by 10
RUBICON: Rubric-Based Evaluation of Domain-Specific Human AI Conversations
Biyani, P., Bajpai, Y., Radhakrishna, A., Soares, G., & Gulwani, S. (2024) · ACM International Conference on AI-Powered Software (AIware) · doi:10.1145/3664646.3664778 · Cited by 13
AI Analytics for Carbon-Neutral City Planning: A Systematic Review of Applications
Cong, C., Page, J., Kwak, Y., Deal, B. M., & Kalantari, Z. (2024) · Urban Science · doi:10.3390/urbansci8030104 · Cited by 14
Cultural Relevance Index: Measuring Cultural Relevance in AI-Generated Images
Elsharif, W., Agus, M., Alzubaidi, M., & She, J. P. M. (2024) · IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR) · doi:10.1109/mipr62202.2024.00071 · Cited by 9
AI for marketing: Enabler? Engager? Ersatz?
Madhavaram, S., & Appan, R. (2024) · AMS Review · doi:10.1007/s13162-024-00293-7 · Cited by 13
Wei, X. (2025) · Theoretical and Natural Science · doi:10.54254/2753-8818/2025.20110 · Cited by 12
Metadata
- Authors
- Fui-Hoon Nah, F., Zheng, R., Cai, J., Siau, K., & Chen, L.
- Affiliations
- City University of Hong Kong, Kowloon, Hong Kong SAR
- City University of Hong Kong (HK)
- Missouri University of Science and Technology (US)
- Venue
- Journal of Information Technology Case and Application Research
- Publisher
- Informa UK Limited
- Published
- 2023-07-03
- Volume
- 25
- Issue
- 3
- Pages
- 277-304
- ISSN
- 1522-8053 (ISSN-L)
- 2333-6897
- OpenAlex
- W4385071300
- Cited by
- 1,363
- References
- 86
- Citations by year
- 2026: 336 · 2025: 557 · 2024: 422 · 2023: 47
- FWCI
- 128.39
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Information Technology Case and Application Research (publishedVersion)
- Singapore Management University Institutional Knowledge (InK) (Singapore Management University) (submittedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
- Keywords
- generative AI, ChatGPT, large language models, human-AI collaboration, history of artificial intelligence, AI winter, AlphaGo, artificial intelligence applications, AI challenges
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review