Haibin Yan

61 total papers · 1.1k total citations
33 papers, 739 citations indexed

About

Haibin Yan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Control and Systems Engineering. According to data from OpenAlex, Haibin Yan has authored 33 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 3 papers in Control and Systems Engineering. Recurrent topics in Haibin Yan's work include Face recognition and analysis (15 papers), Face and Expression Recognition (12 papers) and Generative Adversarial Networks and Image Synthesis (5 papers). Haibin Yan is often cited by papers focused on Face recognition and analysis (15 papers), Face and Expression Recognition (12 papers) and Generative Adversarial Networks and Image Synthesis (5 papers). Haibin Yan collaborates with scholars based in China and Singapore. Haibin Yan's co-authors include Xiuzhuang Zhou, Jiwen Lu, Weihong Deng, Marcelo H. Ang, A.N. Poo, Junlin Hu, Yuanyuan Shang, Zhenyu Wu, Yongxin Ge and Masood Dehghan and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition and IEEE Transactions on Cybernetics.

In The Last Decade

Haibin Yan

31 papers receiving 725 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Haibin Yan	621	202	89	88	67	33	739
Stefano Ricciardi	424 0.7×	250 1.2×	18 0.2×	67 0.8×	19 0.3×	53	799
Eric Patterson	431 0.7×	443 2.2×	73 0.8×	117 1.3×	22 0.3×	41	893
Eng-Jon Ong	396 0.6×	175 0.9×	22 0.2×	61 0.7×	34 0.5×	41	682
Önsen Toygar	498 0.8×	400 2.0×	18 0.2×	72 0.8×	30 0.4×	51	833
Zheng Wang	300 0.5×	77 0.4×	69 0.8×	67 0.8×	10 0.1×	44	800
Puneet Gupta	234 0.4×	293 1.5×	54 0.6×	90 1.0×	79 1.2×	46	675
Chenhao Lin	285 0.5×	276 1.4×	36 0.4×	208 2.4×	11 0.2×	45	633
Saiyed Umer	472 0.8×	276 1.4×	202 2.3×	93 1.1×	18 0.3×	54	792
Fabio Narducci	428 0.7×	213 1.1×	95 1.1×	77 0.9×	19 0.3×	48	683
Zeno Geradts	556 0.9×	128 0.6×	7 0.1×	84 1.0×	66 1.0×	72	802

Countries citing papers authored by Haibin Yan

Since Specialization

Citations

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

Fields of papers citing papers by Haibin Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haibin Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Haibin Yan. A scholar is included among the top collaborators of Haibin Yan 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 Haibin Yan. Haibin Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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