Jianping Fan

2.2k total citations · 1 hit paper
86 papers, 1.4k citations indexed

About

Jianping Fan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Jianping Fan has authored 86 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Vision and Pattern Recognition, 35 papers in Artificial Intelligence and 12 papers in Computer Networks and Communications. Recurrent topics in Jianping Fan's work include Domain Adaptation and Few-Shot Learning (14 papers), Multimodal Machine Learning Applications (11 papers) and Video Surveillance and Tracking Methods (9 papers). Jianping Fan is often cited by papers focused on Domain Adaptation and Few-Shot Learning (14 papers), Multimodal Machine Learning Applications (11 papers) and Video Surveillance and Tracking Methods (9 papers). Jianping Fan collaborates with scholars based in China, United States and Hong Kong. Jianping Fan's co-authors include Shengzhong Feng, Zhongchao Shi, Jin Yuan, Teng Zhu, Baopeng Zhang, Yao Zhang, Zhiqiang He, Yixin Wang, Y.S. Zhang and Qingshan Jiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Jianping Fan

76 papers receiving 1.3k citations

Hit Papers

A Survey of Visual Transformers 2023 2026 2024 2025 2023 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Survey of Visual Transformers
    2023 281 citations Yao Zhang, Yixin Wang et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Peers

Jianping Fan
Asadollah Shahbahrami Iran
Fazhi He China
Yanjun Wu China
Jian Yin China
Zhiyong Liu China
Yilin Yan United States
Kehua Guo China
Lahouari Ghouti Saudi Arabia
Yuk Ying Chung Australia
N.I. Chervyakov Russia
Asadollah Shahbahrami Iran
Jianping Fan
Citations per year, relative to Jianping Fan Jianping Fan (= 1×) peers Asadollah Shahbahrami

Countries citing papers authored by Jianping Fan

Since Specialization
Citations

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

Fields of papers citing papers by Jianping Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianping Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Jianping Fan. A scholar is included among the top collaborators of Jianping Fan 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 Jianping Fan. Jianping Fan 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.
Zhang, Baopeng, et al.. (2025). Leveraging facial landmarks improves generalization ability for deepfake detection. Pattern Recognition. 164. 111528–111528.
2.
Yuan, Jin, Ying Yang, Yao Zhang, et al.. (2025). DomainVerse: A Benchmark Towards Real-World Distribution Shifts for Training-Free Adaptive Domain Generalization. IEEE Transactions on Multimedia. 27. 6648–6660.
3.
Zhang, Baopeng, et al.. (2024). HCgNet: A hierarchical context-guided network for multi-object tracking. Knowledge-Based Systems. 297. 111859–111859. 4 indexed citations
4.
Wang, H., et al.. (2024). Raptor-T: A Fused and Memory-Efficient Sparse Transformer for Long and Variable-Length Sequences. IEEE Transactions on Computers. 73(7). 1852–1865. 5 indexed citations
5.
Yuan, Jin, Y.S. Zhang, Zhongchao Shi, et al.. (2024). Domain-Aware Graph Network for Bridging Multi-Source Domain Adaptation. IEEE Transactions on Multimedia. 26. 7210–7224. 9 indexed citations
6.
Luo, Xiaotong, et al.. (2024). EdgeFormer: Edge-Aware Efficient Transformer for Image Super-Resolution. IEEE Transactions on Instrumentation and Measurement. 73. 1–12. 3 indexed citations
7.
Zhang, Ke, Yan Yang, Jun Yu, et al.. (2024). Attribute Prototype-Guided Iterative Scene Graph for Explainable Radiology Report Generation. IEEE Transactions on Medical Imaging. 43(12). 4470–4482. 9 indexed citations
8.
Zhu, Teng, et al.. (2024). Token-word mixer meets object-aware transformer for referring image segmentation. Pattern Recognition. 155. 110719–110719. 1 indexed citations
9.
Zhang, Baopeng, et al.. (2023). MRE-Net: Multi-Rate Excitation Network for Deepfake Video Detection. IEEE Transactions on Circuits and Systems for Video Technology. 33(8). 3663–3676. 33 indexed citations
10.
Zhang, Baopeng, et al.. (2023). Interactive Two-Stream Network Across Modalities for Deepfake Detection. IEEE Transactions on Circuits and Systems for Video Technology. 33(11). 6418–6430. 19 indexed citations
11.
Zhang, Ke, Hanliang Jiang, Jian Zhang, et al.. (2023). Semi-Supervised Medical Report Generation via Graph-Guided Hybrid Feature Consistency. IEEE Transactions on Multimedia. 26. 904–915. 30 indexed citations
12.
Zhou, Yu, et al.. (2023). Bilaterally Slimmable Transformer for Elastic and Efficient Visual Question Answering. IEEE Transactions on Multimedia. 25. 9543–9556. 4 indexed citations
13.
Zhang, Ke, Yan Yang, Jun Yu, et al.. (2023). Multi-Task Paired Masking With Alignment Modeling for Medical Vision-Language Pre-Training. IEEE Transactions on Multimedia. 26. 4706–4721. 25 indexed citations
14.
Zhang, Yao, Yixin Wang, Jin Yuan, et al.. (2023). A Survey of Visual Transformers. IEEE Transactions on Neural Networks and Learning Systems. 35(6). 7478–7498. 281 indexed citations breakdown →
15.
Fan, Jianping, et al.. (2023). LPR: learning point-level temporal action localization through re-training. Multimedia Systems. 29(5). 2545–2562. 2 indexed citations
16.
Zhang, Baopeng, et al.. (2022). Fast-HBNet: Hybrid Branch Network for Fast Lane Detection. IEEE Transactions on Intelligent Transportation Systems. 23(9). 15673–15683. 13 indexed citations
17.
Hu, Jinxing, et al.. (2022). Exploring Park Visit Variability Using Cell Phone Data in Shenzhen, China. Remote Sensing. 14(3). 499–499. 18 indexed citations
18.
19.
Zhang, Yanhua, Lu Yang, & Jianping Fan. (2010). Study on feature extraction and classification of ultrasonic flaw signals. WSEAS Transactions on Mathematics archive. 9(7). 529–538. 9 indexed citations
20.
Aref, Walid G., Ann Christine Catlin, Jianping Fan, et al.. (2002). A Video Database Management System for Advancing Video Database Research.. 145(6). 8–17. 10 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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