The DOI matches its Crossref record; 104 of the 104 references it cites were found in a registry or an index.
Systematic literature review of machine learning based software development effort estimation models
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1994) · doi:10.1201/9780429246593 · Cited by 40,500
Cochrane Handbook for Systematic Reviews of Interventions: Cochrane Book Series
(2008) · doi:10.1002/9780470712184 · Cited by 25,048
Book Review: Pattern Recognition and Machine Learning
Nasrabadi, N. M. (2007) · Journal of Electronic Imaging · doi:10.1117/1.2819119 · Cited by 22,066
(2006) · Springer eBooks · Cited by 8,123
Software Engineering Economics
Boehm, B. W. (2001) · Pioneers and Their Contributions to Software Engineering · doi:10.1007/978-3-642-48354-7_5 · Cited by 5,981
Forecasting with artificial neural networks:
Zhang, G., Eddy Patuwo, B., & Y. Hu, M. (1998) · International Journal of Forecasting · doi:10.1016/s0169-2070(97)00044-7 · Cited by 4,229
Empirical studies of agile software development: A systematic review
Dybå, T., & Dingsøyr, T. (2008) · Information and Software Technology · doi:10.1016/j.infsof.2008.01.006 · Cited by 2,668 · cited 1×
“, QA1, QA7, QA8, and QA10) are derived from [39].”
Pattern recognition and machine learning
(2007) · Choice Reviews Online · doi:10.5860/choice.44-5091 · Cited by 2,650
Brereton, P., Kitchenham, B. A., Budgen, D., Turner, M., & Khalil, M. (2007) · Journal of Systems and Software · doi:10.1016/j.jss.2006.07.009 · Cited by 2,394
Meta-Ethnography: Synthesizing Qualitative Studies
Noblit, G. W., & Hare, R. D. (1988) · Medical Entomology and Zoology · Cited by 2,191
Introduction to Machine Learning
(2019) · Series in Machine Perception and Artificial Intelligence · doi:10.1142/9789811201967_0001 · Cited by 1,639
Albrecht, A. J., & Gaffney, J. E. (1983) · IEEE Transactions on Software Engineering · doi:10.1109/tse.1983.235271 · Cited by 1,558
Systematic literature reviews in software engineering – A tertiary study
Kitchenham, B., Pretorius, R., Budgen, D., Pearl Brereton, O., Turner, M., Niazi, M., & Linkman, S. (2010) · Information and Software Technology · doi:10.1016/j.infsof.2010.03.006 · Cited by 1,230
Measuring application development productivity
Albrecht, A. (1979) · Medical Entomology and Zoology · Cited by 1,119
Estimating software project effort using analogies
Shepperd, M., & Schofield, C. (1997) · IEEE Transactions on Software Engineering · doi:10.1109/32.637387 · Cited by 954
An empirical validation of software cost estimation models
Kemerer, C. F. (1987) · Communications of the ACM · doi:10.1145/22899.22906 · Cited by 896
A General Empirical Solution to the Macro Software Sizing and Estimating Problem
Putnam, L. H. (1978) · IEEE Transactions on Software Engineering · doi:10.1109/tse.1978.231521 · Cited by 800
A systematic review of software development cost estimation studies
Jørgensen, M., & Shepperd, M. (2007) · Brunel University Research Archive (BURA) (Brunel University London) · doi:10.1109/tse.2007.3 · Cited by 742
A Systematic Review of Software Development Cost Estimation Studies
Jorgensen, M., & Shepperd, M. (2007) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2007.256943 · Cited by 729
Software engineering economics: background, current practices, and future directions
Erdogmus, H., Boehm, B. W., Harrison, W., Reifer, D. J., & Sullivan, K. J. (2002) · Proceedings of the 24th international conference on Software engineering - ICSE '02 · doi:10.1145/581441.581444 · Cited by 711
The PROMISE Repository of Empirical Software Engineering Data
Boetticher, G. D. (2007) · Medical Entomology and Zoology · Cited by 682
A survey of controlled experiments in software engineering
Sjoeberg, D. I. K., Hannay, J. E., Hansen, O., Kampenes, V. B., Karahasanovic, A., Liborg, N.-K., & Rekdal, A. C. (2005) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2005.97 · Cited by 682
A review of studies on expert estimation of software development effort
Jørgensen, M. (2004) · Journal of Systems and Software · doi:10.1016/s0164-1212(02)00156-5 · Cited by 618
Software development cost estimation approaches — A survey
Boehm, B., Abts, C., & Chulani, S. (2000) · Annals of Software Engineering · doi:10.1023/a:1018991717352 · Cited by 588
Machine learning approaches to estimating software development effort
Srinivasan, K., & Fisher, D. (1995) · IEEE Transactions on Software Engineering · doi:10.1109/32.345828 · Cited by 483
Cross versus Within-Company Cost Estimation Studies: A Systematic Review
Kitchenham, B. A., Mendes, E., & Travassos, G. H. (2007) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2007.1001 · Cited by 424
Applying Systematic Reviews to Diverse Study Types: An Experience Report
Dyba, T., Dingsoyr, T., & Hanssen, G. K. (2007) · First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007) · doi:10.1109/esem.2007.59 · Cited by 391
Can genetic programming improve software effort estimation? A comparative evaluation
Burgess, C. J., & Lefley, M. (2001) · Information and Software Technology · doi:10.1016/s0950-5849(01)00192-6 · Cited by 300
Finnie, G. R., Wittig, G. E., & Desharnais, J.-M. (1997) · Journal of Systems and Software · doi:10.1016/s0164-1212(97)00055-1 · Cited by 286
Heiat, A. (2002) · Information and Software Technology · doi:10.1016/s0950-5849(02)00128-3 · Cited by 284
Comparing software prediction techniques using simulation
Shepperd, M., & Kadoda, G. (2001) · IEEE Transactions on Software Engineering · doi:10.1109/32.965341 · Cited by 280
An assessment and comparison of common software cost estimation modeling techniques
Briand, L. C., El Emam, K., Surmann, D., Wieczorek, I., & Maxwell, K. D. (1999) · Proceedings of the 21st international conference on Software engineering · doi:10.1145/302405.302647 · Cited by 277
An investigation of machine learning based prediction systems
Mair, C., Kadoda, G., Lefley, M., Phalp, K., Schofield, C., Shepperd, M., & Webster, S. (2000) · Journal of Systems and Software · doi:10.1016/s0164-1212(00)00005-4 · Cited by 270
A meta-model for software development resource expenditures
Bailey, J. W., & Basili, V. R. (1981) · doi:10.5555/800078.802522 · Cited by 265
Reliability and validity in comparative studies of software prediction models
Myrtveit, I., Stensrud, E., & Shepperd, M. (2005) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2005.58 · Cited by 259
Examining the Feasibility of a Case-Based Reasoning Model for Software Effort Estimation1
Mukhopadhyay, T., Vicinanza, S. S., & Prietula, M. J. (1992) · MIS Quarterly · doi:10.2307/249573 · Cited by 241
A pattern recognition approach for software engineering data analysis
Briand, L. C., Basili, V. R., & Thomas, W. M. (1992) · IEEE Transactions on Software Engineering · doi:10.1109/32.177363 · Cited by 239
An Empirical Study of Analogy-based Software Effort Estimation
Walkerden, F., & Jeffery, R. (1999) · Empirical Software Engineering · doi:10.1023/a:1009872202035 · Cited by 237
Oliveira, A. L. I., Braga, P. L., Lima, R. M. F., & Cornélio, M. L. (2010) · Information and Software Technology · doi:10.1016/j.infsof.2010.05.009 · Cited by 233
Heemstra, F. J. (1992) · Information and Software Technology · doi:10.1016/0950-5849(92)90068-z · Cited by 233
A Simulation Tool for Efficient Analogy Based Cost Estimation
Angelis, L., & Stamelos, I. G. (2000) · Empirical Software Engineering · doi:10.1023/a:1009897800559 · Cited by 229
Integration of the grey relational analysis with genetic algorithm for software effort estimation
Huang, S.-J., Chiu, N.-H., & Chen, L.-W. (2008) · European Journal of Operational Research · doi:10.1016/j.ejor.2007.07.002 · Cited by 220
A replicated assessment and comparison of common software cost modeling techniques
Briand, L. C., Langley, T., & Wieczorek, I. (2000) · Proceedings of the 22nd international conference on Software engineering - ICSE '00 · doi:10.1145/337180.337223 · Cited by 220
A Comparative Study of Cost Estimation Models for Web Hypermedia Applications
Mendes, E., Watson, I., Triggs, C., Mosley, N., & Counsell, S. (2003) · Empirical Software Engineering · doi:10.1023/a:1023062629183 · Cited by 196
A probabilistic model for predicting software development effort
Pendharkar, P. C., Subramanian, G. H., & Rodger, J. A. (2005) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2005.75 · Cited by 196
A study of project selection and feature weighting for analogy based software cost estimation
Li, Y. F., Xie, M., & Goh, T. N. (2009) · Journal of Systems and Software · doi:10.1016/j.jss.2008.06.001 · Cited by 195
A comparison of techniques for developing predictive models of software metrics
Gray, A. R., & MacDonell, S. G. (1997) · Information and Software Technology · doi:10.1016/s0950-5849(96)00006-7 · Cited by 188
The adjusted analogy-based software effort estimation based on similarity distances
Chiu, N.-H., & Huang, S.-J. (2007) · Journal of Systems and Software · doi:10.1016/j.jss.2006.06.006 · Cited by 186
Using public domain metrics to estimate software development effort
Jeffery, R., Ruhe, M., & Wieczorek, I. (2001) · Proceedings Seventh International Software Metrics Symposium · doi:10.1109/metric.2001.915512 · Cited by 186
On the problem of the software cost function
Dolado, J. J. (2001) · Information and Software Technology · doi:10.1016/s0950-5849(00)00137-3 · Cited by 185
A controlled experiment to assess the benefits of estimating with analogy and regression models
Myrtveit, I., & Stensrud, E. (1999) · IEEE Transactions on Software Engineering · doi:10.1109/32.799947 · Cited by 183
Machine Learning and Software Engineering
Zhang, D., & Tsai, J. J. P. (2003) · Software Quality Journal · doi:10.1023/a:1023760326768 · Cited by 173
Optimization of analogy weights by genetic algorithm for software effort estimation
Huang, S.-J., & Chiu, N.-H. (2006) · Information and Software Technology · doi:10.1016/j.infsof.2005.12.020 · Cited by 171
Combining empirical results in software engineering
Pickard, L. M., Kitchenham, B. A., & Jones, P. W. (1998) · Information and Software Technology · doi:10.1016/s0950-5849(98)00101-3 · Cited by 165
Jeffery, R., Ruhe, M., & Wieczorek, I. (2000) · Information and Software Technology · doi:10.1016/s0950-5849(00)00153-1 · Cited by 163
Software development cost estimation using wavelet neural networks
Vinay Kumar, K., Ravi, V., Carr, M., & Raj Kiran, N. (2008) · Journal of Systems and Software · doi:10.1016/j.jss.2007.12.793 · Cited by 163
Forecasting of software development work effort: Evidence on expert judgement and formal models
Jørgensen, M. (2007) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2007.05.008 · Cited by 158
A flexible method for software effort estimation by analogy
Li, J., Ruhe, G., Al‐Emran, A., & Richter, M. M. (2006) · Empirical Software Engineering · doi:10.1007/s10664-006-7552-4 · Cited by 156
Resource Estimation in Software Engineering
Briand, L., & Wieczorek, I. (2002) · Wiley eBooks · doi:10.1002/0471028959.sof282 · Cited by 149
Empirical data modeling in software engineering using radial basis functions
Shin, M., & Goel, A. L. (2000) · IEEE Transactions on Software Engineering · doi:10.1109/32.852743 · Cited by 140
Tronto, Í. F. D. B., da Silva, J. D. S., & Sant’Anna, N. (2007) · Journal of Systems and Software · doi:10.1016/j.jss.2007.05.011 · Cited by 134
Further Comparison of Cross-company and Within-company Effort Estimation Models for Web Applications
Mendes, E., & Kitchenham, B. (2004) · Cited by 133
Analogy-X: Providing Statistical Inference to Analogy-Based Software Cost Estimation
Keung, J., Kitchenham, B. A., & Jeffery, D. R. (2008) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2008.34 · Cited by 133
An empirical validation of a neural network model for software effort estimation
Park, H., & Baek, S. H. (2007) · Expert Systems with Applications · doi:10.1016/j.eswa.2007.08.001 · Cited by 130
Improving the COCOMO model using a neuro-fuzzy approach
Huang, X., Ho, D., Ren, J., et al. (2005) · Applied Soft Computing · doi:10.1016/j.asoc.2005.06.007 · Cited by 130
Software effort estimation by analogy and “regression toward the mean”
Jørgensen, M., Indahl, U. G., & Sjøberg, D. I. K. (2003) · Journal of Systems and Software · doi:10.1016/s0164-1212(03)00066-9 · Cited by 127
Optimal project feature weights in analogy-based cost estimation: improvement and limitations
Auer, M., Trendowicz, A., Graser, B., et al. (2006) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2006.1599418 · Cited by 124
Estimating software development effort with connectionist models
Wittig, G. E., & Finnie, G. R. (1997) · Information and Software Technology · doi:10.1016/s0950-5849(97)00004-9 · Cited by 121
On the use of Bayesian belief networks for the prediction of software productivity
Stamelos, I. G., Angelis, L., Dimou, P., & Sakellaris, E. (2002) · Information and Software Technology · doi:10.1016/s0950-5849(02)00163-5 · Cited by 112
Li, Y., Xie, M., & Goh, T. N. (2008) · Expert Systems with Applications · doi:10.1016/j.eswa.2008.07.062 · Cited by 108
Software effort estimation terminology: The tower of Babel
Grimstad, S., Jørgensen, M., & Molokken-Ostvold, K. (2005) · Information and Software Technology · doi:10.1016/j.infsof.2005.04.004 · Cited by 105
Combining techniques to optimize effort predictions in software project management
MacDonell, S. G., & Shepperd, M. (2003) · Journal of Systems and Software · doi:10.1016/s0164-1212(02)00067-5 · Cited by 93
Mair, C., & Shepperd, M. (2005) · International Symposium on Empirical Software Engineering · doi:10.1109/isese.2005.1541858 · Cited by 91
Investigating Web size metrics for early Web cost estimation
Mendes, E., Mosley, N., & Counsell, S. (2004) · Journal of Systems and Software · doi:10.1016/j.jss.2004.08.034 · Cited by 91
A study of the non-linear adjustment for analogy based software cost estimation
Li, Y., Xie, M., & Goh, T. N. (2009) · Empirical Software Engineering · doi:10.1007/s10664-008-9104-6 · Cited by 86
Alternative approaches to effort prediction of ERP projects
Stensrud, E. (2001) · Information and Software Technology · doi:10.1016/s0950-5849(01)00147-1 · Cited by 80
Analysis of attribute weighting heuristics for analogy-based software effort estimation method AQUA+
Li, J., & Ruhe, G. (2007) · Empirical Software Engineering · doi:10.1007/s10664-007-9054-4 · Cited by 76
Software project economics: a roadmap
Shepperd, M. (2007) · Future of Software Engineering (FOSE) · doi:10.1109/fose.2007.23 · Cited by 74
Applying fuzzy neural network to estimate software development effort
Huang, S.-J., & Chiu, N. (2007) · Applied Intelligence · doi:10.1007/s10489-007-0097-4 · Cited by 68
Software cost estimation using an Albus perceptron (CMAC)
Samson, B., Ellison, D., & Dugard, P. (1997) · Information and Software Technology · doi:10.1016/0950-5849(96)01124-x · Cited by 66
Software economics: status and prospects
Boehm, B., & Sullivan, K. (1999) · Information and Software Technology · doi:10.1016/s0950-5849(99)00091-9 · Cited by 63
A survey on software estimation in the Norwegian industry
Molokken-Ostvold, K., Jørgensen, M., Tanilkan, S. S., Gallis, H., Lien, A. C., & Hove, S. E. (2004) · IEEE International Software Metrics Symposium (METRICS) · doi:10.1109/metric.2004.1357904 · Cited by 62
Comparison of estimation methods of cost and duration in IT projects
Berlin, S., Raz, T., Glezer, C., & Zviran, M. (2008) · Information and Software Technology · doi:10.1016/j.infsof.2008.09.007 · Cited by 61
Improving analogy software effort estimation using fuzzy feature subset selection algorithm
Azzeh, M., Neagu, D. C., & Cowling, P. (2008) · doi:10.1145/1370788.1370805 · Cited by 61
Li, J., Al‐Emran, A., & Ruhe, G. (2007) · Proceedings of the ... ACM-IEEE International Symposium on Empirical Software Engineering and Measurement/International Symposium on Empirical Software Engineering and Measurement · doi:10.1109/esem.2007.10 · Cited by 61
How effective is Tabu search to configure support vector regression for effort estimation?
Corazza, A., Martino, S. D., Ferrucci, F., Gravino, C., Sarro, F., & Mendes, E. (2010) · doi:10.1145/1868328.1868335 · Cited by 59
How valuable is company-specific data compared to multi-company data for software cost estimation?
Wieczorek, I., & Ruhe, M. (2003) · IEEE International Software Metrics Symposium (METRICS) · doi:10.1109/metric.2002.1011342 · Cited by 57
An Introduction to Machine Learning
Sahli, H. (2020) · doi:10.1002/9781119720492.ch7 · Cited by 56
Improving analogy-based software cost estimation by a resampling method
Mittas, N., Athanasiades, M., & Angelis, L. (2007) · Information and Software Technology · doi:10.1016/j.infsof.2007.04.001 · Cited by 54
Ensemble of neural networks with associative memory (ENNA) for estimating software development costs
Kultur, Y., Turhan, B., & Bener, A. (2009) · Knowledge-Based Systems · doi:10.1016/j.knosys.2009.05.001 · Cited by 52
A comparison of cross-company and within-company effort estimation models for Web applications
Kitchenham, B. A. (2004) · doi:10.1049/ic:20040398 · Cited by 51
Mittas, N., & Angelis, L. (2010) · Empirical Software Engineering · doi:10.1007/s10664-010-9128-6 · Cited by 50
An analysis of the most cited articles in software engineering journals – 2002
Wohlin, C. (2008) · Information and Software Technology · doi:10.1016/j.infsof.2008.09.012 · Cited by 48
Investigating the use of Support Vector Regression for web effort estimation
Corazza, A., Martino, S. D., Ferrucci, F., Gravino, C., & Mendes, E. (2010) · Empirical Software Engineering · doi:10.1007/s10664-010-9138-4 · Cited by 48
Effort estimation modeling techniques
Costagliola, G., Martino, S. D., Ferrucci, F., Gravino, C., Tortora, G., & Vitiello, G. (2006) · doi:10.1145/1145581.1145584 · Cited by 45
Soup or Art? The role of evidential force in empirical software engineering
Pfleeger, S. L. (2005) · IEEE Software · doi:10.1109/ms.2005.19 · Cited by 39
Cross-company vs. single-company web effort models using the Tukutuku database: An extended study
Mendes, E., Martino, S. D., Ferrucci, F., & Gravino, C. (2007) · Journal of Systems and Software · doi:10.1016/j.jss.2007.07.044 · Cited by 38
Ohsugi, N., Monden, A., Kikuchi, N., Barker, M., Tsunoda, M., Kakimoto, T., & Matsumoto, K. (2007) · Proceedings of the ... ACM-IEEE International Symposium on Empirical Software Engineering and Measurement/International Symposium on Empirical Software Engineering and Measurement · doi:10.1109/esem.2007.31 · Cited by 38
Comparing Local and Global Software Effort Estimation Models -- Reflections on a Systematic Review
MacDonell, S. G., & Shepperd, M. (2007) · Proceedings of the ... ACM-IEEE International Symposium on Empirical Software Engineering and Measurement/International Symposium on Empirical Software Engineering and Measurement · doi:10.1109/esem.2007.45 · Cited by 36
(2007) · Proceedings of the ... ACM-IEEE International Symposium on Empirical Software Engineering and Measurement/International Symposium on Empirical Software Engineering and Measurement · doi:10.1109/esem.2007.4 · Cited by 29
Software Cost Estimation Models Using Radial Basis Function Neural Networks
Idri, A., Zahi, A., Mendes, E., et al. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-85553-8_2 · Cited by 28
A Comparison of Techniques for Web Effort Estimation
Mendes, E. (2007) · Proceedings of the ... ACM-IEEE International Symposium on Empirical Software Engineering and Measurement/International Symposium on Empirical Software Engineering and Measurement · doi:10.1109/esem.2007.14 · Cited by 27
Fuzzy Case-Based Reasoning Models for Software Cost Estimation
Idri, A., Abran, A., & Khoshgoftaar, T. M. (2004) · Studies in fuzziness and soft computing · doi:10.1007/978-3-540-44405-3_3 · Cited by 19
Software Effort Prediction Using Regression Rule Extraction from Neural Networks
Setiono, R., Dejaeger, K., Verbeke, W., Martens, D., & Baesens, B. (2010) · IEEE International Conference on Tools with Artificial Intelligence (ICTAI) · doi:10.1109/ictai.2010.82 · Cited by 15
Cited by
A systematic review of machine learning techniques for software fault prediction
Malhotra, R. (2015) · Applied Soft Computing · doi:10.1016/j.asoc.2014.11.023 · Cited by 620
Machine Learning based Digital Twin Framework for Production Optimization in Petrochemical Industry
Min, Q., Lu, Y., Liu, Z., Su, C., & Wang, B. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.05.020 · Cited by 436
Ampatzoglou, A., Bibi, S., Avgeriou, P., Verbeek, M., & Chatzigeorgiou, A. (2019) · Information and Software Technology · doi:10.1016/j.infsof.2018.10.006 · Cited by 305
Pospieszny, P., Czarnacka-Chrobot, B., & Kobylinski, A. (2018) · Journal of Systems and Software · doi:10.1016/j.jss.2017.11.066 · Cited by 247
An empirical analysis of data preprocessing for machine learning-based software cost estimation
Huang, J., Li, Y.-F., & Xie, M. (2015) · Information and Software Technology · doi:10.1016/j.infsof.2015.07.004 · Cited by 223
Metadata
- Authors
- Wen, J., Li, S., Lin, Z., Hu, Y., & Huang, C.
- Venue
- Information and Software Technology
- Publisher
- Elsevier BV
- Published
- 2012-01
- Volume
- 54
- Issue
- 1
- Pages
- 41-59
- ISSN
- 0950-5849 (ISSN-L)
- OpenAlex
- W2037664399
- Cited by
- 526
- References
- 104
- FWCI
- 5.36
- Type
- journal article
- Language
- en
- Open access
- closed
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
