Jia Wan

1.7k total citations
29 papers, 1.2k citations indexed

About

Jia Wan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Jia Wan has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 5 papers in Molecular Biology. Recurrent topics in Jia Wan's work include Video Surveillance and Tracking Methods (15 papers), Anomaly Detection Techniques and Applications (13 papers) and Fire Detection and Safety Systems (5 papers). Jia Wan is often cited by papers focused on Video Surveillance and Tracking Methods (15 papers), Anomaly Detection Techniques and Applications (13 papers) and Fire Detection and Safety Systems (5 papers). Jia Wan collaborates with scholars based in China, Hong Kong and United States. Jia Wan's co-authors include Antoni B. Chan, Qi Wang, Yuan Yuan, Qingzhong Wang, Xuelong Li, Qiangqiang Wu, Wei Liu, Wenhan Luo, Baoyuan Wu and Yongli Zhou and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and BMC Bioinformatics.

In The Last Decade

Jia Wan

28 papers receiving 1.2k citations

Peers

Jia Wan

CVPR

AI

SRRQ

MT

PS

Wei Lin China

Dawei Du United States

Deming Chen United States

Desen Zhou China

Yifan Sun China

Mingliang Gao China

Miaojing Shi China

Yang Wu China

Yuning Chai United States

ZuWhan Kim United States

Wei Lin China

Jia Wan

1.1k ×1.4

CVPR

718 ×1.2

AI

193 ×1.4

SRRQ

158 ×1.2

MT

33 ×0.3

PS

Citations per year, relative to Jia Wan Jia Wan (= 1×) peers Wei Lin

Countries citing papers authored by Jia Wan

Since Specialization

Citations

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

Fields of papers citing papers by Jia Wan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Wan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Wan, Jia, Wanhua Li, Evelina Sjöstedt, et al.. (2025). TriSAM: Tri-Plane SAM for Zero-Shot Cortical Blood Vessel Segmentation in VEM Images. IEEE Journal of Biomedical and Health Informatics. 29(11). 8246–8255.

2.

Wan, Jia, et al.. (2024). Learning Crowd Scale and Distribution for Weakly Supervised Crowd Counting and Localization. IEEE Transactions on Circuits and Systems for Video Technology. 35(1). 713–727. 1 indexed citations

3.

Wan, Jia, Qiangqiang Wu, & Antoni B. Chan. (2023). Modeling Noisy Annotations for Point-Wise Supervision. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 15065–15080. 4 indexed citations

4.

Wan, Jia, et al.. (2023). Generalized Characteristic Function Loss for Crowd Analysis in the Frequency Domain. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(5). 2882–2899. 7 indexed citations

5.

Wan, Jia, et al.. (2023). Weakly-Supervised Scene-Specific Crowd Counting Using Real-Synthetic Hybrid Data. 1–5. 1 indexed citations

6.

Wan, Jia, et al.. (2021). A Generalized Loss Function for Crowd Counting and Localization. Queen Mary Research Online (Queen Mary University of London). 1974–1983. 138 indexed citations

7.

Wu, Qiangqiang, Jia Wan, & Antoni B. Chan. (2021). Progressive Unsupervised Learning for Visual Object Tracking. 2992–3001. 27 indexed citations

8.

Wan, Jia, Kaihao Zhang, Hongdong Li, & Antoni B. Chan. (2021). Angular-Driven Feedback Restoration Networks for Imperfect Sketch Recognition. IEEE Transactions on Image Processing. 30. 5085–5095. 6 indexed citations

9.

Wu, Qiangqiang, Jia Wan, & Antoni B. Chan. (2021). Dynamic Momentum Adaptation for Zero-Shot Cross-Domain Crowd Counting. 658–666. 19 indexed citations

10.

Wan, Jia & Antoni B. Chan. (2020). Modeling Noisy Annotations for Crowd Counting.. Neural Information Processing Systems. 33. 3386–3396. 36 indexed citations

11.

Wan, Jia, Qingzhong Wang, & Antoni B. Chan. (2020). Kernel-Based Density Map Generation for Dense Object Counting. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(3). 1357–1370. 94 indexed citations

12.

Wang, Qingzhong, Jia Wan, & Antoni B. Chan. (2020). On Diversity in Image Captioning: Metrics and Methods. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(2). 1035–1049. 31 indexed citations

13.

Wan, Jia & Antoni B. Chan. (2019). Adaptive Density Map Generation for Crowd Counting. 1130–1139. 108 indexed citations

14.

Wan, Jia, Wenhan Luo, Baoyuan Wu, Antoni B. Chan, & Wei Liu. (2019). Residual Regression With Semantic Prior for Crowd Counting. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4031–4040. 74 indexed citations

15.

Li, Lishuang, et al.. (2018). Biomedical event extraction based on GRU integrating attention mechanism. BMC Bioinformatics. 19(S9). 285–285. 29 indexed citations

16.

Wan, Jia, Yuan Yuan, & Qi Wang. (2017). Traffic congestion analysis: A new Perspective. 1398–1402. 19 indexed citations

17.

Wan, Jia, et al.. (2017). Dynamic extended tree conditioned LSTM-based biomedical event extraction. International Journal of Data Mining and Bioinformatics. 17(3). 266–266. 5 indexed citations

18.

Yuan, Yuan, Jia Wan, & Qi Wang. (2016). Congested scene classification via efficient unsupervised feature learning and density estimation. Pattern Recognition. 56. 159–169. 45 indexed citations

19.

Shi, Yong, Jia Wan, Xinyang Zhang, et al.. (2007). Comparison study of two kernel-based learning algorithms for predicting the distance range between antibody interface residues and antigen surface. International Journal of Computer Mathematics. 84(5). 697–707. 3 indexed citations

20.

Jiang, Guanghuai, Zhihui Xia, Yongli Zhou, et al.. (2006). Testifying the rice bacterial blight resistance gene xa5 by genetic complementation and further analyzing xa5 (Xa5) in comparison with its homolog TFIIAγ1. Molecular Genetics and Genomics. 275(4). 354–366. 110 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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