Haibin Yan

1.1k total citations
35 papers, 742 citations indexed

About

Haibin Yan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Aerospace Engineering. According to data from OpenAlex, Haibin Yan has authored 35 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 4 papers in Aerospace 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, Marcelo H. Ang, Weihong Deng, 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

32 papers receiving 728 citations

Peers

Haibin Yan
Rajeev Ranjan United States
Guowang Mu United States
Charles Otto United States
Qi Yin China
Sunan Li China
Rajeev Ranjan United States
Haibin Yan
Citations per year, relative to Haibin Yan Haibin Yan (= 1×) peers Rajeev Ranjan

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

20 of 20 papers shown
1.
Wu, Zhenyu, Ziwei Wang, Hang Yin, et al.. (2025). Embodied Instruction Following in Unknown Environments. 21825–21832. 1 indexed citations
2.
Ran, Jiangjun & Haibin Yan. (2025). Interactive shape estimation for densely cluttered objects. Pattern Recognition Letters. 191. 8–14.
3.
Yang, Yan, et al.. (2025). Kinship verification via Frequency Feature Decoupling and Fusion. Pattern Recognition Letters. 193. 1–7. 2 indexed citations
5.
Rao, Yongming, et al.. (2024). X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition. 5074–5083. 5 indexed citations
6.
Zhang, Borui, et al.. (2024). Toward Integrity and Detail With Ensemble Learning for Salient Object Detection in Optical Remote-Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 3 indexed citations
7.
Wu, Zhenyu, et al.. (2022). TC-Net: Transformer-Convolutional Networks for Road Segmentation. 2022 IEEE International Conference on Multimedia and Expo (ICME). 1–6. 1 indexed citations
8.
Wu, Zhenyu & Haibin Yan. (2022). Adaptive dynamic networks for object detection in aerial images. Pattern Recognition Letters. 166. 8–15. 7 indexed citations
9.
Yan, Haibin, et al.. (2021). Structure-aware fusion network for 3D scene understanding. Chinese Journal of Aeronautics. 35(5). 194–203. 2 indexed citations
10.
Yan, Haibin, et al.. (2020). Multi-scale deep relational reasoning for facial kinship verification. Pattern Recognition. 110. 107541–107541. 26 indexed citations
11.
Yan, Haibin, et al.. (2020). Discriminative sampling via deep reinforcement learning for kinship verification. Pattern Recognition Letters. 138. 38–43. 17 indexed citations
12.
Yan, Haibin, et al.. (2019). Semantic three-stream network for social relation recognition. Pattern Recognition Letters. 128. 78–84. 5 indexed citations
13.
Sun, Ying, et al.. (2018). Video-based Parent-Child Relationship Prediction. 1–4. 4 indexed citations
14.
Yan, Haibin & Jiwen Lu. (2017). Facial Kinship Verification. SpringerBriefs in computer science. 1 indexed citations
15.
Zhang, Peng, et al.. (2017). Effects of Simulated Wind Load on Leaf Photosynthesis and Carbohydrate Allocation in Eight Quercus Species. Journal of Biobased Materials and Bioenergy. 11(6). 629–634. 8 indexed citations
16.
Yan, Haibin. (2016). Discriminative sparse projections for activity-based person recognition. Neurocomputing. 208. 183–192. 4 indexed citations
17.
Zhou, Xiuzhuang, Haibin Yan, & Yuanyuan Shang. (2016). Kinship verification from facial images by scalable similarity fusion. Neurocomputing. 197. 136–142. 39 indexed citations
18.
Yan, Haibin. (2016). Kinship verification using neighborhood repulsed correlation metric learning. Image and Vision Computing. 60. 91–97. 41 indexed citations
19.
Yan, Haibin, Jiwen Lu, Weihong Deng, & Xiuzhuang Zhou. (2014). Discriminative Multimetric Learning for Kinship Verification. IEEE Transactions on Information Forensics and Security. 9(7). 1169–1178. 147 indexed citations
20.
Yan, Haibin, Jiwen Lu, & Xiuzhuang Zhou. (2014). Prototype-Based Discriminative Feature Learning for Kinship Verification. IEEE Transactions on Cybernetics. 45(11). 2535–2545. 127 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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