Weizhi An

1.1k total citations · 1 hit paper
11 papers, 660 citations indexed

About

Weizhi An is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Human-Computer Interaction. According to data from OpenAlex, Weizhi An has authored 11 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Biomedical Engineering and 4 papers in Human-Computer Interaction. Recurrent topics in Weizhi An's work include Human Pose and Action Recognition (5 papers), Gait Recognition and Analysis (5 papers) and Hand Gesture Recognition Systems (4 papers). Weizhi An is often cited by papers focused on Human Pose and Action Recognition (5 papers), Gait Recognition and Analysis (5 papers) and Hand Gesture Recognition Systems (4 papers). Weizhi An collaborates with scholars based in United States, China and Japan. Weizhi An's co-authors include Rijun Liao, Shiqi Yu, Yongzhen Huang, Junzhou Huang, Xinhui Wu, Yasushi Yagi, Yasushi Makihara, Chi Xu, Jinyu Yang and Peilin Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Neurocomputing.

In The Last Decade

Weizhi An

11 papers receiving 641 citations

Hit Papers

A model-based gait recognition method with body pose and ... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weizhi An United States 9 522 505 196 118 114 11 660
Edel García-Reyes China 8 311 0.6× 222 0.4× 69 0.4× 46 0.4× 41 0.4× 21 360
Maodi Hu China 9 298 0.6× 284 0.6× 118 0.6× 92 0.8× 32 0.3× 21 393
Youshou Wu China 10 247 0.5× 61 0.1× 38 0.2× 76 0.6× 6 0.1× 27 324
P. S. Hiremath India 12 154 0.3× 55 0.1× 11 0.1× 84 0.7× 2 0.0× 34 367
Srijan Das United States 9 255 0.5× 78 0.2× 33 0.2× 150 1.3× 3 0.0× 22 308
Praneeth Vepakomma United States 6 115 0.2× 50 0.1× 6 0.0× 133 1.1× 2 0.0× 14 250
Bingyi Zhang United States 10 153 0.3× 13 0.0× 26 0.1× 159 1.3× 31 287
Girish Revadigar Australia 11 74 0.1× 118 0.2× 16 0.1× 60 0.5× 20 317
Yan Ke United States 7 435 0.8× 52 0.1× 27 0.1× 122 1.0× 1 0.0× 9 467

Countries citing papers authored by Weizhi An

Since Specialization
Citations

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

Fields of papers citing papers by Weizhi An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weizhi An

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

All Works

11 of 11 papers shown
1.
Guo, Yuzhi, Hehuan Ma, Weizhi An, et al.. (2024). AlphaEpi: Enhancing B Cell Epitope Prediction with AlphaFold 3. 1–8. 2 indexed citations
2.
An, Weizhi, Yuzhi Guo, Yatao Bian, et al.. (2024). Advancing DNA Language Models through Motif-Oriented Pre-Training with MoDNA. SHILAP Revista de lepidopterología. 4(2). 1556–1571. 1 indexed citations
3.
An, Weizhi, Yuzhi Guo, Yatao Bian, et al.. (2022). MoDNA. 1–5. 15 indexed citations
4.
Yang, Jinyu, Weizhi An, Chaochao Yan, Peilin Zhao, & Junzhou Huang. (2021). Context-Aware Domain Adaptation in Semantic Segmentation. 514–524. 44 indexed citations
5.
Yang, Jinyu, Chunyuan Li, Weizhi An, et al.. (2021). Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 9174–9183. 25 indexed citations
6.
Liao, Rijun, Weizhi An, Zhu Li, & Shuvra S. Bhattacharyya. (2021). A novel view synthesis approach based on view space covering for gait recognition. Neurocomputing. 453. 13–25. 16 indexed citations
7.
Ma, Hehuan, Weizhi An, Yuhong Wang, et al.. (2020). Deep Graph Learning with Property Augmentation for Predicting Drug-Induced Liver Injury. Chemical Research in Toxicology. 34(2). 495–506. 25 indexed citations
8.
An, Weizhi, Shiqi Yu, Yasushi Makihara, et al.. (2020). Performance Evaluation of Model-Based Gait on Multi-View Very Large Population Database With Pose Sequences. IEEE Transactions on Biometrics Behavior and Identity Science. 2(4). 421–430. 119 indexed citations
9.
Liao, Rijun, Weizhi An, Shiqi Yu, Zhu Li, & Yongzhen Huang. (2020). Dense-View GEIs Set: View Space Covering for Gait Recognition based on Dense-View GAN. 1–9. 12 indexed citations
10.
Liao, Rijun, Shiqi Yu, Weizhi An, & Yongzhen Huang. (2019). A model-based gait recognition method with body pose and human prior knowledge. Pattern Recognition. 98. 107069–107069. 330 indexed citations breakdown →
11.
Yu, Shiqi, Rijun Liao, Weizhi An, et al.. (2018). GaitGANv2: Invariant gait feature extraction using generative adversarial networks. Pattern Recognition. 87. 179–189. 71 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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