Chao Lan

492 total citations
43 papers, 325 citations indexed

About

Chao Lan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Chao Lan has authored 43 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 12 papers in Signal Processing. Recurrent topics in Chao Lan's work include Face and Expression Recognition (18 papers), Biometric Identification and Security (8 papers) and Machine Learning and Algorithms (5 papers). Chao Lan is often cited by papers focused on Face and Expression Recognition (18 papers), Biometric Identification and Security (8 papers) and Machine Learning and Algorithms (5 papers). Chao Lan collaborates with scholars based in United States, China and Hong Kong. Chao Lan's co-authors include Xiao‐Yuan Jing, David Zhang, Sheng Li, Jingyu Yang, Jun Huan, Zhen Wang, Yimu Ji, Fei Wu, Qinghua Huang and Bo Luo and has published in prestigious journals such as Sensors, Pattern Recognition and Information Sciences.

In The Last Decade

Chao Lan

39 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao Lan United States 11 151 148 72 44 26 43 325
Chunyu Yang China 11 152 1.0× 207 1.4× 135 1.9× 34 0.8× 83 3.2× 24 385
Chaoqun Hong China 8 209 1.4× 368 2.5× 37 0.5× 68 1.5× 28 1.1× 16 541
Chengyue Gong United States 12 331 2.2× 222 1.5× 50 0.7× 17 0.4× 123 4.7× 27 564
Hai Huang China 9 69 0.5× 82 0.6× 65 0.9× 14 0.3× 20 0.8× 40 276
Olivier Bachem Switzerland 12 288 1.9× 207 1.4× 76 1.1× 12 0.3× 23 0.9× 25 438
Paulo Rauber Netherlands 8 245 1.6× 274 1.9× 60 0.8× 13 0.3× 19 0.7× 12 437
Jianhua Chen China 10 118 0.8× 98 0.7× 59 0.8× 17 0.4× 52 2.0× 57 321
Jean-François Paiement United States 8 120 0.8× 209 1.4× 103 1.4× 23 0.5× 37 1.4× 13 449
Guillaume Alain Canada 7 186 1.2× 215 1.5× 86 1.2× 24 0.5× 13 0.5× 8 410
Xiaochen Lian China 8 111 0.7× 196 1.3× 49 0.7× 23 0.5× 39 1.5× 13 331

Countries citing papers authored by Chao Lan

Since Specialization
Citations

This map shows the geographic impact of Chao Lan'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 Chao Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Lan more than expected).

Fields of papers citing papers by Chao Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao Lan. 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 Chao Lan. The network helps show where Chao Lan may publish in the future.

Co-authorship network of co-authors of Chao Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Lan. A scholar is included among the top collaborators of Chao Lan 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 Chao Lan. Chao Lan 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.
Wu, Fei, et al.. (2025). PFBL: Prototype-Based Fully Balanced Learning for Multimodal Fake News Detection. IEEE Transactions on Computational Social Systems. 12(5). 3442–3454.
2.
Liu, Yang, et al.. (2025). Efficient Estimation of Kernel Matrix Spectral Norm using Random Features. 1–5. 1 indexed citations
3.
Yang, Lei, et al.. (2025). Efficient Data-Dependent Random Projection for Least Square Regressions. 1–5. 2 indexed citations
4.
Wu, Fei, Xiao‐Yuan Jing, Pengfei Wei, et al.. (2022). Semi-supervised multi-view graph convolutional networks with application to webpage classification. Information Sciences. 591. 142–154. 48 indexed citations
5.
Lan, Chao, et al.. (2021). Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view Inconsistency. Annual Computer Security Applications Conference. 31–44. 5 indexed citations
6.
Hu, Hui, Yijun Liu, Zhen Wang, & Chao Lan. (2019). A Distributed Fair Machine Learning Framework with Private Demographic Data Protection. 1102–1107. 12 indexed citations
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Lan, Chao, et al.. (2019). On the Unreported-Profile-is-Negative Assumption for Predictive Cheminformatics. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 17(4). 1352–1363. 2 indexed citations
9.
Wang, Zhen, Maohong Fan, Suresh Muknahallipatna, & Chao Lan. (2019). Inductive Multi-view Semi-Supervised Anomaly Detection via Probabilistic Modeling. 257–264. 1 indexed citations
10.
Lan, Chao, et al.. (2016). Partial Collective Matrix Factorization and its PAC Bound.. 1 indexed citations
11.
Lan, Chao, Jianxin Wang, & Jun Huan. (2016). Towards a theoretical understanding of negative transfer in collective matrix factorization. Uncertainty in Artificial Intelligence. 367–376. 3 indexed citations
12.
Lan, Chao & Jun Huan. (2015). Reducing the Unlabeled Sample Complexity of Semi-Supervised Multi-View Learning. 627–634. 5 indexed citations
13.
Zhang, Yong, et al.. (2013). Dataspace and its application in digital libraries. The Electronic Library. 31(6). 688–702. 1 indexed citations
14.
Liu, Qian, et al.. (2012). Sparsity Preserving Embedding with Manifold Learning and Discriminant Analysis. IEICE Transactions on Information and Systems. E95-D(1). 271–274. 2 indexed citations
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16.
Lan, Chao, et al.. (2011). Class-imbalance learning based discriminant analysis. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 6. 545–549. 3 indexed citations
17.
Jing, Xiao‐Yuan, et al.. (2010). Holistic orthogonal analysis of discriminant transforms for color face recognition. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 3841–3844. 15 indexed citations
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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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2026