A survey on feature selection methods

Cited by (1,004)

Items 601–700 of 1,004

1. Data Preprocessing and Feature Engineering for Data Mining: Techniques, Tools, and Best Practices
   Paraskevas Koukaras, Christos Tjortjis · 2025 · AI
2. A Method for Anomalies Detection in Real-Time Ethernet Data Traffic Applied to PROFINET
   Guilherme Serpa Sestito, Afonso Celso Turcato, André Luís Dias, Murilo Silveira Rocha, Maíra Martins da Silva, Paolo Ferrari, Dennis Brandão · 2017 · IEEE Transactions on Industrial Informatics
3. A Comparative Analysis of Decision Trees, Support Vector Machines and Artificial Neural Networks for On-line Transient Stability Assessment
   Nicholas Gregory Baltas, Peyman Mazidi, Jin Ma, Francisco Fernández‐Navarro, Pedro Rodríguez · 2018 · International Conference on Smart Energy Systems and Technologies (SEST)
4. Multi Hive Artificial Bee Colony Programming for high dimensional symbolic regression with feature selection
   Sibel Arslan, Celal Öztürk · 2019 · Applied Soft Computing
5. A machine learning approach for mapping the very shallow theoretical geothermal potential
   Dan Assouline, Nahid Mohajeri, Ágúst Guðmundsson, Jean‐Louis Scartezzini · 2019 · Geothermal Energy
6. Soft metrology based on machine learning: a review
   Marcela Vallejo, Carolina de la Espriella, Juliana Gómez-Santamaría, Andrés Felipe Ramírez Barrera, Edilson Delgado‐Trejos · 2019 · Measurement Science and Technology
7. A novel quantum grasshopper optimization algorithm for feature selection
   Dong Wang, Hongmei Chen, Tianrui Li, Jihong Wan, Yanyong Huang · 2020 · International Journal of Approximate Reasoning
8. A Hybrid Approach for Network Intrusion Detection
   Mavra Mehmood, Talha Javed, Jamel Nebhen, Sidra Abbas, Rabia Abid, Giridhar Reddy Bojja, Muhammad Rizwan · 2021 · Computers, materials & continua/Computers, materials & continua (Print)
9. Convolutional neural network with batch normalisation for fault detection in squirrel cage induction motor
   Prashant Kumar, Ananda Shankar Hati · 2020 · IET Electric Power Applications
10. Theoretical and empirical analysis of filter ranking methods: Experimental study on benchmark DNA microarray data
    Kushal Kanti Ghosh, Shemim Begum, Aritra Sardar, Sukdev Adhikary, Manosij Ghosh, Munish Kumar, Ram Sarkar · 2020 · Expert Systems with Applications
11. Accelerating the Selection of Covalent Organic Frameworks with Automated Machine Learning
    Peisong Yang, Huan Zhang, Xin Lai, Kunfeng Wang, Qingyuan Yang, Duli Yu · 2021 · ACS Omega
12. Active Machine learning for formulation of precision probiotics
    Laura E. McCoubrey, Nidhi Seegobin, Moe Elbadawi, Yiling Hu, Mine Orlu, Simon Gaisford, Abdul W. Basit · 2022 · International Journal of Pharmaceutics
13. Quality 4.0 – an evolution of Six Sigma DMAIC
    Carlos Alberto Escobar, Daniela Macias, Megan E. McGovern, Marcela Hernández-de-Menéndez, Rubén Morales-Menéndez · 2022 · International Journal of Lean Six Sigma
14. A comprehensive review of solar irradiation estimation and forecasting using artificial neural networks: data, models and trends
    Naima El-Amarty, Manal Marzouq, Hakim El Fadili, Saad Dosse Bennani, Antonio E Ruano · 2022 · Environmental Science and Pollution Research
15. Artificial intelligence for fish behavior recognition may unlock fishing gear selectivity
    Alexa Sugpatan Abangan, Dorothée Kopp, Robin Faillettaz · 2023 · Frontiers in Marine Science
16. A Hybrid Particle Swarm Optimization Algorithm with Dynamic Adjustment of Inertia Weight Based on a New Feature Selection Method to Optimize SVM Parameters
    Jing Wang, Xingyi Wang, Xiongfei Li, Jiacong Yi · 2023 · Entropy
17. Boosted local dimensional mutation and all-dimensional neighborhood slime mould algorithm for feature selection
    Xinsen Zhou, Yi Chen, Zongda Wu, Ali Asghar Heidari, Huiling Chen, Eatedal A. Alabdulkreem, José Escorcia‐Gutierrez, Xianchuan Wang · 2023 · Neurocomputing
18. Unsupervised feature learning for autonomous rock image classification
    Lei Shu, Kenneth McIsaac, G. R. Osinski, Raymond Francis · 2017 · Computers & Geosciences
19. Transient stability preventive control of power systems using chaotic particle swarm optimization combined with two-stage support vector machine
    Yanzhen Zhou, Junyong Wu, Luyu Ji, Zhihong Yu, Kaijun Lin, Liangliang Hao · 2017 · Electric Power Systems Research
20. Alzheimer disease detection from structural MR images using FCM based weighted probabilistic neural network
    Baskar Duraisamy, Jayanthi Venkatraman Shanmugam, Jayanthi Annamalai · 2018 · Brain Imaging and Behavior
21. Mutual information and sensitivity analysis for feature selection in customer targeting: A comparative study
    Nestor Ruben Barraza, Sérgio Moro, Marcelo Ferreyra, Adolfo de la Peña · 2018 · Journal of Information Science
22. Data analysis and feature selection for predictive maintenance: A case-study in the metallurgic industry
    Marta Fernandes, Alda Canito, Verónica Bolón‐Canedo, Luís Conceição, Isabel Praça, Goreti Marreiros · 2018 · International Journal of Information Management
23. Application Driven Graph Partitioning
    Wenfei Fan, Ruochun Jin, Muyang Liu, Ping Lü, Xiaojian Luo, Ruiqi Xu, Qiang Yin, Wenyuan Yu, Jingren Zhou · 2020 · ACM SIGMOD International Conference on Management of Data (SIGMOD)
24. Software fault prediction using particle swarm algorithm with genetic algorithm and support vector machine classifier
    Hiba Alsghaier, Mohammed Akour · 2020 · Software Practice and Experience
25. An empirical study of players’ emotions in VR racing games based on a dataset of physiological data
    Marco Granato, Davide Gadia, Dario Maggiorini, Laura Anna Ripamonti · 2020 · Multimedia Tools and Applications
26. Machine Learning Intrusion Detection in Big Data Era: A Multi-Objective Approach for Longer Model Lifespans
    Eduardo K. Viegas, Altair O. Santin, Vilmar Abreu · 2020 · IEEE Transactions on Network Science and Engineering
27. Classification of Anxiety Disorders using Machine Learning Methods: A Literature Review
    Arif Muhammad, Basri Ashjan, Melibari Ghufran, Sindi Taghreed, Alghamdi Nada, Altalhi Nada, Arif Maryam · 2020 · Insights of Biomedical Research
28. An Alternative Method for Traffic Accident Severity Prediction: Using Deep Forests Algorithm
    Jing Ye Gan, Linheng Li, Dapeng Zhang, Ziwei Yi, Qiaojun Xiang · 2020 · Journal of Advanced Transportation
29. Machine learning and data-driven characterization framework for porous materials: Permeability prediction and channeling defect detection
    Tomoki Yasuda, Shinichi A. Ookawara, Shiro Yoshikawa, Hideyuki Matsumoto · 2021 · Chemical Engineering Journal
30. Machine Learning-Enabled Renal Cell Carcinoma Status Prediction Using Multiplatform Urine-Based Metabolomics
    Olatomiwa O. Bifarin, David A. Gaul, Samyukta Sah, Rebecca S. Arnold, Kenneth Ogan, Viraj A. Master, David L. Roberts, Sharon Horesh Bergquist, John A. Petros, Facundo M. Fernández et al. · 2021 · Journal of Proteome Research
31. Deep transfer learning-based network traffic classification for scarce dataset in 5G IoT systems
    Jianfeng Guan, Junxian Cai, Haozhe Bai, Ilsun You · 2021 · International Journal of Machine Learning and Cybernetics
32. A Novel Method for COVID-19 Pandemic Information Fake News Detection Based on the Arithmetic Optimization Algorithm
    Miodrag Z. Zivkovic, Cătălin Stoean, Aleksandar Petrović, Nebojša Bačanin, Ivana Strumberger, Tamara Živković · 2021 · International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)
33. Differential Evolution With Duplication Analysis for Feature Selection in Classification
    Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang · 2022 · IEEE Transactions on Cybernetics
34. Prediction of drilling fluid lost-circulation zone based on deep learning
    Yili Kang, Chenglin Ma, Chengyuan Xu, Lijun You, Zhenjiang You · 2023 · Energy
35. Accurate long-term prognostics of proton exchange membrane fuel cells using recurrent and convolutional neural networks
    Kartik Sahajpal, K.P.S. Rana, Vineet Kumar · 2023 · International Journal of Hydrogen Energy
36. Robust multiobjective evolutionary feature subset selection algorithm for binary classification using machine learning techniques
    Ayça Deniz, Hakan Ezgi Kızılöz, Tansel Dökeroğlu, Ahmet Coşar · 2017 · Neurocomputing
37. A bi-objective hybrid optimization algorithm to reduce noise and data dimension in diabetes diagnosis using support vector machines
    Mahsa Alirezaei, Seyed Taghi Akhavan Niaki, Seyed Armin Akhavan Niaki · 2019 · Expert Systems with Applications
38. Speech/music classification using visual and spectral chromagram features
    Gajanan K. Birajdar, Mukesh D. Patil · 2019 · Journal of Ambient Intelligence and Humanized Computing
39. Evolutionary feature subsets selection based on interaction information for high dimensional imbalanced data classification
    Elahe Sadat Hosseini, Mohammad Hossein Moattar · 2019 · Applied Soft Computing
40. Yield prediction of apricot using a hybrid particle swarm optimization-imperialist competitive algorithm- support vector regression (PSO-ICA-SVR) method
    Isa Esfandiarpour-Boroujeni, E. Karimi, Hossein Shirani, Majid Esmaeilizadeh, Zohreh Mosleh · 2019 · Scientia Horticulturae
41. A Review of Data Analytic Applications in Road Traffic Safety. Part 1: Descriptive and Predictive Modeling
    Amir Mehdizadeh, Miao Cai, Qiong Hu, Mohammad Ali Alamdar Yazdi, Nasrin Mohabbati-Kalejahi, Alexander Vinel, Steven E. Rigdon, Karen Davis, Fadel M. Megahed · 2020 · Sensors
42. Plant species recognition methods using leaf image: Overview
    Shanwen Zhang, Wenzhun Huang, Yu‐An Huang, Chuanlei Zhang · 2020 · Neurocomputing
43. Machine learning prediction of self-diffusion in Lennard-Jones fluids
    Joshua P. Allers, Jacob Harvey, Fernando H. Garzón, Todd Michael Alam · 2020 · The Journal of Chemical Physics
44. Multi-Modal Feature Selection with Feature Correlation and Feature Structure Fusion for MCI and AD Classification
    Zhuqing Jiao, Siwei Chen, Haifeng Shi, Jia Wei Xu · 2022 · Brain Sciences
45. Effective supervised multiple‐feature learning for fused radar and optical data classification
    Danya Karimi, Gholamreza Akbarizadeh, Kazem Rangzan, Mostafa Kabolizadeh · 2016 · IET Radar Sonar & Navigation
46. Machine Learning Predictive Models Can Improve Efficacy of Clinical Trials for Alzheimer’s Disease
    Ali Ezzati, Alzheimer’s Disease Neuroimaging Initiative, Richard B. Lipton · 2020 · Journal of Alzheimer s Disease
47. A novel ensemble learning for post-processing of NWP Model's next-day maximum air temperature forecast in summer using deep learning and statistical approaches
    Dongjin Cho, Cheolhee Yoo, Bokyung Son, Jungho Im, Donghyuck Yoon, Dong‐Hyun Cha · 2022 · Weather and Climate Extremes
48. Transition State Theory-Inspired Neural Network for Estimating the Viscosity of Deep Eutectic Solvents
    Liu‐Ying Yu, Gao‐Peng Ren, Xiao‐Jing Hou, Ke‐Jun Wu, Yuchen He · 2022 · ACS Central Science
49. Potential assessment of the TVF-EMD algorithm in forecasting hourly global solar radiation: Review and case studies
    Mawloud Guermoui, Kacem Gairaa, Khaled Ferkous, Domingos S. de O. Santos, Toufik Arrif, Abdelfetah Belaid · 2022 · Journal of Cleaner Production
50. Feature selection and its combination with data over-sampling for multi-class imbalanced datasets
    Chih‐Fong Tsai, Kuan-Chen Chen, Wei‐Chao Lin · 2024 · Applied Soft Computing
51. A universal deep learning approach for modeling the flow of patients under different severities
    Shancheng Jiang, Kwai‐Sang Chin, Kwok‐Leung Tsui · 2017 · Computer Methods and Programs in Biomedicine
52. Weighted Gini index feature selection method for imbalanced data
    Haoyue Liu, MengChu Zhou, Xiaoyu Sean Lu, Cynthia Yao · 2018 · IEEE International Conference on Networking, Sensing and Control (ICNSC)
53. A screening-based gradient-enhanced Kriging modeling method for high-dimensional problems
    Liming Chen, Haobo Qiu, Liang Gao, Chen Jiang, Zan Yang · 2018 · Applied Mathematical Modelling
54. A novel filter–wrapper hybrid greedy ensemble approach optimized using the genetic algorithm to reduce the dimensionality of high-dimensional biomedical datasets
    Tushaar Gangavarapu, Nagamma Patil · 2019 · Applied Soft Computing
55. Single channel EMG-based continuous terrain identification with simple classifier for lower limb prosthesis
    Rohit Gupta, Ravinder Agarwal · 2019 · Journal of Applied Biomedicine
56. Load-balancing Sparse Matrix Vector Product Kernels on GPUs
    Hartwig Anzt, Terry Cojean, Yen‐Chen Chen, Jack J. Dongarra, Goran Flegar, Pratik Nayak, Stanimire Z. Tomov, Yu‐Hsiang Tsai, Weichung Wang · 2020 · ACM Transactions on Parallel Computing
57. Inflammatory bowel disease biomarkers of human gut microbiota selected via different feature selection methods
    Burcu Bakır-Güngör, Hilal Hacılar, Amhar Jabeer, Özkan Ufuk Nalbantoğlu, Oya Aran, Malik Yousef · 2022 · PeerJ
58. Using Administrative Data to Predict Suicide After Psychiatric Hospitalization in the Veterans Health Administration System
    Kessler, Ronald C., Bauer, Mark S., Bishop, Todd M., Demler, Olga V., Dobscha, Steven K., Gildea, Sarah M., Goulet, Joseph L., Karras, Elizabeth, Kreyenbuhl, Julie, Landes, Sara J. et al. · 2020 · Frontiers in Psychiatry
59. Classification of Schizophrenia Based on Individual Hierarchical Brain Networks Constructed From Structural MRI Images
    Jin Liu, Min Li, Yi Feng Pan, Fang‐Xiang Wu, Xiaogang Chen, Jianxin Wang · 2017 · IEEE Transactions on NanoBioscience
60. Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images
    Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, S. Lakshmivarahan, Bin Zheng · 2021 · Computer Methods and Programs in Biomedicine
61. Ensemble learning-based filter-centric hybrid feature selection framework for high-dimensional imbalanced data
    Jongmo Kim, Jaewoong Kang, Mye M. Sohn · 2021 · Knowledge-Based Systems
62. A random walk Grey wolf optimizer based on dispersion factor for feature selection on chronic disease prediction
    Preeti, Kusum Deep · 2022 · Expert Systems with Applications
63. An electronic nose for identifying multiple combustible/harmful gases and their concentration levels via artificial intelligence
    Omneya Attallah, Iman Morsi · 2022 · Measurement
64. Enhancing wind power forecast accuracy using the weather research and forecasting numerical model-based features and artificial neuronal networks
    António Couto, Ana I. Estanqueiro · 2022 · Renewable Energy
65. Tuning OER Electrocatalysts toward LOM Pathway through the Lens of Multi-Descriptor Feature Selection by Artificial Intelligence-Based Approach
    Haruna Adamu, Sani Isah Abba, Paul Betiang Anyin, Yusuf Sani, Zain Hassan Yamani, Mohammad Qamar · 2022 · ACS Materials Letters
66. A novel network intrusion detection method based on metaheuristic optimisation algorithms
    Reza Ghanbarzadeh, Ali Hosseinalipour, Ali Ghaffari · 2023 · Journal of Ambient Intelligence and Humanized Computing
67. A systematic review and methodological analysis of EEG-based biomarkers of Alzheimer's disease
    Aslan Modir, Sina Shamekhi, Peyvand Ghaderyan · 2023 · Measurement
68. AI powered, automated discovery of polymer membranes for carbon capture
    Ronaldo Giro, Hsianghan Hsu, Akihiro Kishimoto, Toshiyuki Hama, Rodrigo Neumann Barros Ferreira, Binquan Luan, Seiji Takeda, Lisa Hamada, Mathias Bernhard Steiner · 2023 · npj Computational Materials
69. A hybrid forecasting approach for China's national carbon emission allowance prices with balanced accuracy and interpretability
    Yaqi Mao, Xiaobing Yu · 2023 · Journal of Environmental Management
70. Machine learning-based prediction of effluent total suspended solids in a wastewater treatment plant using different feature selection approaches: A comparative study
    Mahdi Gholizadeh, Reza Saeedi, Amin Bagheri, Mohammad Paeezi · 2024 · Environmental Research
71. Embedded feature fusion for multi-view multi-label feature selection
    Pingting Hao, Wanfu Gao, Liang Qing Hu · 2024 · Pattern Recognition
72. New deep learning method to detect code injection attacks on hybrid applications
    Ruibo Yan, Xi Xiao, Guangwu Hu, Sancheng Peng, Yong Jiang · 2017 · Journal of Systems and Software
73. Combining elemental analysis of toenails and machine learning techniques as a non-invasive diagnostic tool for the robust classification of type-2 diabetes
    Jake A. Carter, Christina S. Long, Beth Peterson Smith, Thomas L. Smith, George L. Donati · 2018 · Expert Systems with Applications
74. An effective feature selection method for web spam detection
    Faeze Asdaghi, Ali Soleimani · 2018 · Knowledge-Based Systems
75. A robust graph-based semi-supervised sparse feature selection method
    Razieh Sheikhpour, Mehdi Agha Sarram, Sajjad Gharaghani, Mohammad Ali Zare Chahooki · 2020 · Information Sciences
76. Exploring the computational cost of machine learning at the edge for human-centric Internet of Things
    Oihane Gómez–Carmona, Diego Casado–Mansilla, Frank Alexander Kraemer, Diego López–de–Ipiña, Javier García-Zubía · 2020 · Future Generation Computer Systems
77. Two stage deep learning for prognostics using multi-loss encoder and convolutional composite features
    Shanmugasivam Pillai, Prahlad Vadakkepat · 2021 · Expert Systems with Applications
78. TAGA: Tabu Asexual Genetic Algorithm embedded in a filter/filter feature selection approach for high-dimensional data
    Sadegh Salesi, Georgina Cosma, Michalis Mavrovouniotis · 2021 · Information Sciences
79. Machine Learning analysis of the human infant gut microbiome identifies influential species in type 1 diabetes
    Diego Fernández-Edreira, José Liñares-Blanco, Carlos Fernandez-Lozano · 2021 · Expert Systems with Applications
80. A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems
    Katiana Kontolati, Dimitrios Loukrezis, Dimitris G. Giovanis, Lohit Vandanapu, Michael D. Shields · 2022 · arXiv (Cornell University)
81. Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware
    Shiwei Liu, Decebal Constantin Mocanu, Amarsagar Reddy Ramapuram Matavalam, Yulong Pei, Mykola Pechenizkiy · 2020 · Neural Computing and Applications
82. A New Noisy Random Forest Based Method for Feature Selection
    Yassine Akhiat, Youness Manzali, Mohamed Chahhou, Ahmed Zinedine · 2021 · Cybernetics and Information Technologies
83. Feature-Selection and Mutual-Clustering Approaches to Improve DoS Detection and Maintain WSNs’ Lifetime
    Rami Ahmad, Raniyah Wazirali, Qusay Bsoul, Tarik Abu-Ain, Waleed Abdel karim Abu-ain · 2021 · Sensors
84. Feature Selection Using Modified Sine Cosine Algorithm with COVID-19 Dataset
    Miodrag Z. Zivkovic, Luka Jovanović, Milica Ivanovic, Aleksa Krdzic, Nebojša Bačanin, Ivana Strumberger · 2022 · Lecture notes on data engineering and communications technologies
85. A hybrid feature selection scheme for high-dimensional data
    Mohammad Ahmadi Ganjei, Reza Boostani · 2022 · Engineering Applications of Artificial Intelligence
86. Machine Learning and Feature Selection for soil spectroscopy. An evaluation of Random Forest wrappers to predict soil organic matter, clay, and carbonates
    Francisco M. Canero, Victor Francisco Rodriguez-Galiano, David Aragonés · 2024 · Heliyon
87. Advancing groundwater quality predictions: Machine learning challenges and solutions
    Juan Antonio Torres-Martínez, Jürgen Mahlknecht, Manish Kumar, Frank J. Loge, Dugin Kaown · 2024 · The Science of The Total Environment
88. A recommender system for component-based applications using machine learning techniques
    Antonio Jesús Fernández‐García, Luís Iribarne, Antonio Corral, Javier Criado, James Z. Wang · 2018 · Knowledge-Based Systems
89. Subject-Specific feature selection for near infrared spectroscopy based brain-computer interfaces
    Eda Akman Aydın · 2020 · Computer Methods and Programs in Biomedicine
90. An interactive filter-wrapper multi-objective evolutionary algorithm for feature selection
    Zhengyi Liu, Bo Chang, Fan Cheng · 2021 · Swarm and Evolutionary Computation
91. Predictive classification of Alzheimer’s disease using brain imaging and genetic data
    Sheng, Jinhua, Xin, Yu, Zhang, Qiao, Wang, Luyun, Yang, Ze, Yin, Jie · 2022 · Scientific Reports
92. Sleep quality prediction in caregivers using physiological signals
    Sadeghi, Reza, Banerjee, Tanvi, Hughes, Jennifer C., Lawhorne, Larry W. · 2019 · Computers in Biology and Medicine
93. A Survey on Classification Algorithms of Brain Images in Alzheimer’s Disease Based on Feature Extraction Techniques
    Ruhul Amin Hazarika, Arnab Kumar Maji, Samarendra Nath Sur, Babu Sena Paul, Debdatta Kandar · 2021 · IEEE Access
94. An empirical study toward dealing with noise and class imbalance issues in software defect prediction
    Sushant Kumar Pandey, Anil Kumar Tripathi · 2021 · Soft Computing
95. Optimal selection of scalar and vector-valued seismic intensity measures based on Gaussian Process Regression
    Yexiang Yan, Ye Xia, Jipeng Yang, Limin Sun · 2021 · Soil Dynamics and Earthquake Engineering
96. Comprehensive machine and deep learning analysis of sensor-based human activity recognition
    Hossam Magdy Balaha, Asmaa El-Sayed Hassan · 2023 · Neural Computing and Applications
97. Comparisons of the prediction models for undiagnosed diabetes between machine learning versus traditional statistical methods
    Seong Gyu Choi, Minsuk Oh, Dong‐Hyuk Park, Byeongchan Lee, Yong‐ho Lee, Sun Ha Jee, Justin Y. Jeon · 2023 · Scientific Reports
98. MAFSIDS: a reinforcement learning-based intrusion detection model for multi-agent feature selection networks
    Kezhou Ren, Yifan Zeng, Yuanfu Zhong, Biao Sheng, Yingchao Zhang · 2023 · Journal Of Big Data
99. A machine learning framework to estimate residential electricity demand based on smart meter electricity, climate, building characteristics, and socioeconomic datasets
    McKenna Peplinski, B. Dilkina, Mo Chen, Sam J. Silva, G. Ban-Weiss, Kelly T. Sanders · 2024 · Applied Energy
100. Analyzing the Active Site and Predicting the Overall Activity of Alloy Catalysts
     Quan Zhou, Hongwei Shou, Sicong Qiao, Yuyang Cao, Pengjun Zhang, Shiqiang Wei, Shuangming Chen, Xiaojun Wu, Li Song · 2024 · Journal of the American Chemical Society