Tongwei Ren

2.5k total citations · 1 hit paper
105 papers, 1.6k citations indexed

About

Tongwei Ren is a scholar working on Computer Vision and Pattern Recognition, Infectious Diseases and Artificial Intelligence. According to data from OpenAlex, Tongwei Ren has authored 105 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Computer Vision and Pattern Recognition, 14 papers in Infectious Diseases and 12 papers in Artificial Intelligence. Recurrent topics in Tongwei Ren's work include Advanced Image and Video Retrieval Techniques (38 papers), Visual Attention and Saliency Detection (31 papers) and Human Pose and Action Recognition (18 papers). Tongwei Ren is often cited by papers focused on Advanced Image and Video Retrieval Techniques (38 papers), Visual Attention and Saliency Detection (31 papers) and Human Pose and Action Recognition (18 papers). Tongwei Ren collaborates with scholars based in China, Hong Kong and United States. Tongwei Ren's co-authors include Gangshan Wu, Ran Ju, Wenjing Geng, Jia Bei, Yan Liu, Tat‐Seng Chua, Zhi Liu, Olivier Le Meur, Guangling Sun and Huan Du and has published in prestigious journals such as IEEE Transactions on Image Processing, Virology and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Tongwei Ren

95 papers receiving 1.6k citations

Hit Papers

Depth saliency based on anisotropic center-surround diffe... 2014 2026 2018 2022 2014 100 200 300
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. Depth saliency based on anisotropic center-surround difference
    2014 355 citations Ran Ju, Wenjing Geng et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tongwei Ren China 18 1.4k 222 205 133 133 105 1.6k
Qijun Zhao China 27 2.1k 1.5× 346 1.6× 218 1.1× 261 2.0× 100 0.8× 167 2.8k
Wonjun Kim South Korea 18 1.1k 0.8× 75 0.3× 25 0.1× 321 2.4× 45 0.3× 83 1.3k
Tiantian Wang China 13 936 0.7× 150 0.7× 285 1.4× 116 0.9× 126 0.9× 40 1.2k
Aykut Erdem Türkiye 20 1.4k 1.0× 338 1.5× 108 0.5× 189 1.4× 109 0.8× 68 1.6k
Simone Frintrop Germany 22 1.5k 1.1× 98 0.4× 324 1.6× 98 0.7× 267 2.0× 62 1.7k
Thirimachos Bourlai United States 21 758 0.5× 126 0.6× 84 0.4× 97 0.7× 4 0.0× 95 1.2k
Adarsh Kowdle United States 15 1.3k 0.9× 85 0.4× 55 0.3× 134 1.0× 54 0.4× 30 1.4k
Luis Miguel Soria Morillo Spain 10 401 0.3× 141 0.6× 29 0.1× 135 1.0× 7 0.1× 31 678
Saihui Hou China 14 1.1k 0.8× 711 3.2× 22 0.1× 42 0.3× 13 0.1× 36 1.6k
Neill Campbell United Kingdom 18 1000 0.7× 162 0.7× 82 0.4× 132 1.0× 12 0.1× 73 1.4k

Countries citing papers authored by Tongwei Ren

Since Specialization
Citations

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

Fields of papers citing papers by Tongwei Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tongwei Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Tongwei Ren. A scholar is included among the top collaborators of Tongwei Ren 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 Tongwei Ren. Tongwei Ren 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.
Hou, Ruichao, Xingyuan Li, Tongwei Ren, et al.. (2025). HyPSAM: Hybrid Prompt-Driven Segment Anything Model for RGB-Thermal Salient Object Detection. IEEE Transactions on Circuits and Systems for Video Technology. 36(3). 2697–2712.
2.
Song, Dan, et al.. (2024). Generating counterfactual negative samples for image-text matching. Information Processing & Management. 62(3). 103990–103990.
3.
Song, Dan, et al.. (2024). STVformer: A spatial-temporal-variable transformer with auxiliary knowledge for sea surface temperature prediction. Applied Ocean Research. 153. 104218–104218. 3 indexed citations
4.
Ren, Tongwei, Liping Zhang, Yifeng Qin, et al.. (2024). Development of a monoclonal antibody specifically recognizing a linear epitope on the capsid protein of the emerging Group III Getah virus. Virology. 591. 109990–109990. 1 indexed citations
5.
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7.
Liu, An-An, Wenhui Li, Dan Song, et al.. (2024). Text-Guided Knowledge Transfer for Remote Sensing Image-Text Retrieval. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 11 indexed citations
8.
Hou, Ruichao, et al.. (2024). Jointly modeling association and motion cues for robust infrared UAV tracking. The Visual Computer. 40(12). 8413–8424. 4 indexed citations
9.
Ren, Tongwei, et al.. (2024). Semantic-guided RGB-Thermal Crowd Counting with Segment Anything Model. 570–578. 2 indexed citations
10.
Ren, Tongwei, Jing Huang, Kang Zhang, et al.. (2023). Development of a recombinant reporter Getah virus for antiviral drug screening assays. Veterinary Microbiology. 281. 109742–109742. 4 indexed citations
11.
Ren, Tongwei, et al.. (2023). Deep Video Understanding with Video-Language Model. 9551–9555. 1 indexed citations
12.
Gao, Zan, et al.. (2020). A Pairwise Attentive Adversarial Spatiotemporal Network for Cross-Domain Few-Shot Action Recognition-R2. IEEE Transactions on Image Processing. 30. 767–782. 48 indexed citations
13.
Gao, Zan, et al.. (2020). Pairwise Two-Stream ConvNets for Cross-Domain Action Recognition With Small Data. IEEE Transactions on Neural Networks and Learning Systems. 33(3). 1147–1161. 50 indexed citations
14.
Sang, Jitao, et al.. (2020). Metadata Connector: Exploiting Hashtag and Tag for Cross-OSN Event Search. IEEE Transactions on Multimedia. 23. 510–523. 3 indexed citations
15.
He, Xiangnan, Jinhui Tang, Xiaoyu Du, et al.. (2019). Fast Matrix Factorization With Nonuniform Weights on Missing Data. IEEE Transactions on Neural Networks and Learning Systems. 31(8). 2791–2804. 59 indexed citations
16.
Ren, Tongwei, et al.. (2018). Adaptive saliency cuts. Multimedia Tools and Applications. 77(17). 22213–22230. 3 indexed citations
17.
Ren, Tongwei, et al.. (2017). Insights of object proposal evaluation. Multimedia Tools and Applications. 78(10). 13111–13130. 1 indexed citations
18.
Ren, Tongwei, et al.. (2017). Saliency detection on sampled images for tag ranking. Multimedia Systems. 25(1). 35–47. 4 indexed citations
19.
Ju, Ran, et al.. (2014). Depth saliency based on anisotropic center-surround difference. 1115–1119. 355 indexed citations breakdown →
20.
Yang, Yang, et al.. (2009). Nanjing University in TRECVID 2009. TRECVID. 1 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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