Yidong Chai

851 total citations
39 papers, 497 citations indexed

About

Yidong Chai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Yidong Chai has authored 39 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 10 papers in Sociology and Political Science. Recurrent topics in Yidong Chai's work include Misinformation and Its Impacts (5 papers), Sentiment Analysis and Opinion Mining (5 papers) and Digital Imaging for Blood Diseases (5 papers). Yidong Chai is often cited by papers focused on Misinformation and Its Impacts (5 papers), Sentiment Analysis and Opinion Mining (5 papers) and Digital Imaging for Blood Diseases (5 papers). Yidong Chai collaborates with scholars based in China, United States and Australia. Yidong Chai's co-authors include Hongyan Liu, Jie Xu, Sagar Samtani, Hsinchun Chen, Yuanchun Jiang, Weifeng Li, Mohammadreza Ebrahimi, Shuo Yu, Yang Qian and Jay F. Nunamaker and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, European Journal of Operational Research and Journal of Business Research.

In The Last Decade

Yidong Chai

36 papers receiving 475 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yidong Chai China 14 180 142 125 105 92 39 497
Ankur Taly United States 14 430 2.4× 178 1.3× 56 0.4× 192 1.8× 106 1.2× 20 810
Chenglang Lu China 10 207 1.1× 66 0.5× 80 0.6× 82 0.8× 15 0.2× 20 407
Elham S. Khorasani United States 8 137 0.8× 57 0.4× 63 0.5× 64 0.6× 41 0.4× 21 367
Nada Matta France 11 121 0.7× 58 0.4× 40 0.3× 52 0.5× 25 0.3× 62 388
Ioannis Karamitsos United Arab Emirates 10 94 0.5× 71 0.5× 51 0.4× 245 2.3× 25 0.3× 43 518
Syed Hamad Shirazi Pakistan 13 203 1.1× 73 0.5× 310 2.5× 28 0.3× 17 0.2× 38 645
Kostas Stathis United Kingdom 13 263 1.5× 29 0.2× 90 0.7× 69 0.7× 11 0.1× 78 471
Muhammad Wasif Nisar Pakistan 13 350 1.9× 89 0.6× 161 1.3× 182 1.7× 5 0.1× 39 789
Ahmad Khan Pakistan 13 172 1.0× 520 3.7× 336 2.7× 22 0.2× 259 2.8× 36 917
Shelly Sachdeva India 13 216 1.2× 39 0.3× 45 0.4× 120 1.1× 3 0.0× 64 532

Countries citing papers authored by Yidong Chai

Since Specialization
Citations

This map shows the geographic impact of Yidong Chai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yidong Chai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yidong Chai more than expected).

Fields of papers citing papers by Yidong Chai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yidong Chai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yidong Chai. The network helps show where Yidong Chai may publish in the future.

Co-authorship network of co-authors of Yidong Chai

This figure shows the co-authorship network connecting the top 25 collaborators of Yidong Chai. A scholar is included among the top collaborators of Yidong Chai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yidong Chai. Yidong Chai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chai, Yidong, et al.. (2025). Short-Form Videos and Mental Health: A Knowledge-Guided Neural Topic Model. Information Systems Research.
2.
3.
Yu, Shuo, Yidong Chai, Yang Qian, et al.. (2024). A Bayesian deep recommender system for uncertainty-aware online physician recommendation. Information & Management. 61(7). 104027–104027. 2 indexed citations
4.
Gu, Dongxiao, et al.. (2024). Identifying the Risk Factors of Allergic Rhinitis Based on Zhihu Comment Data Using a Topic-Enhanced Word-Embedding Model: Mixed Method Study and Cluster Analysis. Journal of Medical Internet Research. 26. e48324–e48324. 8 indexed citations
5.
Chai, Yidong, et al.. (2024). A profile similarity-based personalized federated learning method for wearable sensor-based human activity recognition. Information & Management. 61(7). 103922–103922. 2 indexed citations
6.
Qian, Yang, et al.. (2024). Voice of the Professional: Acquiring competitive intelligence from large-scale professional generated contents. Journal of Business Research. 180. 114719–114719. 2 indexed citations
7.
Zhou, Fan, Yuanchun Jiang, Yang Qian, Yezheng Liu, & Yidong Chai. (2023). Product consumptions meet reviews: Inferring consumer preferences by an explainable machine learning approach. Decision Support Systems. 177. 114088–114088. 11 indexed citations
8.
Chai, Yidong, et al.. (2023). An interpretable wide and deep model for online disinformation detection. Expert Systems with Applications. 237. 121588–121588. 1 indexed citations
9.
Liu, Yezheng, Yidong Chai, Jianshan Sun, et al.. (2023). A deep interpretable representation learning method for speech emotion recognition. Information Processing & Management. 60(6). 103501–103501. 13 indexed citations
10.
Chai, Yidong, Sagar Samtani, Hongyi Zhu, et al.. (2023). Additive Feature Attribution Explainable Methods to Craft Adversarial Attacks for Text Classification and Text Regression. IEEE Transactions on Knowledge and Data Engineering. 35(12). 12400–12414. 6 indexed citations
11.
Qian, Yang, et al.. (2023). Why some products compete and others don't: A competitive attribution model from customer perspective. Decision Support Systems. 169. 113956–113956. 13 indexed citations
12.
Samtani, Sagar, Hongyi Zhu, Balaji Padmanabhan, et al.. (2023). Deep Learning for Information Systems Research. Journal of Management Information Systems. 40(1). 271–301. 27 indexed citations
13.
Chai, Yidong, et al.. (2022). A Multi-Label Classification with an Adversarial-Based Denoising Autoencoder for Medical Image Annotation. ACM Transactions on Management Information Systems. 14(2). 1–21. 18 indexed citations
14.
Ebrahimi, Mohammadreza, Yidong Chai, Sagar Samtani, & Hsinchun Chen. (2022). Cross-Lingual Cybersecurity Analytics in the International Dark Web with Adversarial Deep Representation Learning. MIS Quarterly. 46(2). 1209–1226. 30 indexed citations
15.
Samtani, Sagar, Yidong Chai, & Hsinchun Chen. (2022). Linking Exploits from the Dark Web to Known Vulnerabilities for Proactive Cyber Threat Intelligence: An Attention-based Deep Structured Semantic Model. MIS Quarterly. 46(2). 911–946. 40 indexed citations
16.
Liu, Yezheng, Jicheng Wang, Yang Qian, et al.. (2021). Dynamic Topic Model for Tracking Topic Evolution and Measuring Popularity of Scientific Literature. 315–320. 1 indexed citations
17.
Chai, Yidong, Yiyang Bian, Hongyan Liu, Jiaxing Li, & Jie Xu. (2020). Glaucoma diagnosis in the Chinese context: An uncertainty information-centric Bayesian deep learning model. Information Processing & Management. 58(2). 102454–102454. 25 indexed citations
18.
Chai, Yidong & Weifeng Li. (2019). Towards Deep Learning Interpretability: A Topic Modeling Approach. Journal of the Association for Information Systems. 5 indexed citations
19.
Chai, Yidong, Hongyan Liu, & Jie Xu. (2018). Glaucoma diagnosis based on both hidden features and domain knowledge through deep learning models. Knowledge-Based Systems. 161. 147–156. 114 indexed citations
20.
Chai, Yidong, Hongyan Liu, & Li Zhang. (2017). Extracting Visual Words from Images for Effective Medical Image Analysis. Journal of the Association for Information Systems. 220. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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