Jia Li

6.7k total citations
172 papers, 4.1k citations indexed

About

Jia Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Jia Li has authored 172 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Computer Vision and Pattern Recognition, 32 papers in Artificial Intelligence and 19 papers in Media Technology. Recurrent topics in Jia Li's work include Visual Attention and Saliency Detection (39 papers), Advanced Image and Video Retrieval Techniques (38 papers) and Advanced Neural Network Applications (25 papers). Jia Li is often cited by papers focused on Visual Attention and Saliency Detection (39 papers), Advanced Image and Video Retrieval Techniques (38 papers) and Advanced Neural Network Applications (25 papers). Jia Li collaborates with scholars based in China, United States and Canada. Jia Li's co-authors include Changqun Xia, Yonghong Tian, James Z. Wang, Xiaowu Chen, Shiming Ge, Yifan Zhao, Gio Wiederhold, Mingcan Ma, Tiejun Huang and Zhao Luo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Jia Li

159 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jia Li China	35	3.1k	780	491	319	269	172	4.1k
Rynson W. H. Lau Hong Kong	37	4.5k 1.5×	786 1.0×	955 1.9×	193 0.6×	149 0.6×	265	6.4k
Thomas Deselaers Germany	27	3.1k 1.0×	988 1.3×	418 0.9×	152 0.5×	237 0.9×	64	3.9k
Mingli Song China	40	3.9k 1.3×	1.5k 2.0×	540 1.1×	169 0.5×	445 1.7×	237	5.5k
Xin Yang China	27	2.4k 0.8×	587 0.8×	540 1.1×	123 0.4×	107 0.4×	230	3.7k
Lihi Zelnik‐Manor Israel	27	5.0k 1.6×	1.4k 1.8×	687 1.4×	496 1.6×	382 1.4×	57	6.2k
Yizhou Wang China	36	3.3k 1.1×	1.3k 1.7×	235 0.5×	241 0.8×	247 0.9×	193	5.1k
Lijun Wang China	24	3.3k 1.1×	471 0.6×	482 1.0×	416 1.3×	81 0.3×	136	4.0k
Ge Li China	31	2.7k 0.9×	1.7k 2.2×	412 0.8×	121 0.4×	329 1.2×	257	5.1k
Jan‐Mark Geusebroek Netherlands	27	3.1k 1.0×	736 0.9×	764 1.6×	243 0.8×	256 1.0×	83	4.1k
Chu‐Song Chen Taiwan	29	3.5k 1.1×	766 1.0×	348 0.7×	133 0.4×	472 1.8×	136	4.1k

Countries citing papers authored by Jia Li

Since Specialization

Citations

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

Fields of papers citing papers by Jia Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jia Li. A scholar is included among the top collaborators of Jia Li 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 Li. Jia Li 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

Li, Jia, et al.. (2025). Graph neural networks for network science: A mini review. Europhysics Letters (EPL). 150(2). 21001–21001.

Zhao, Yifan, Jia Li, & Yonghong Tian. (2024). Parsing Objects at a Finer Granularity: A Survey. 21(3). 431–451.

Cao, Xin, et al.. (2024). Corr-Track: Category-Level 6D Pose Tracking with Soft-Correspondence Matrix Estimation. IEEE Transactions on Visualization and Computer Graphics. 30(5). 2173–2183.

Zhang, Guifeng, et al.. (2024). Intelligent agent for hyperspectral image classification with noisy labels: a deep reinforcement learning framework. International Journal of Remote Sensing. 45(9). 2939–2964. 3 indexed citations

Xia, Changqun, et al.. (2024). Text-prompt Camouflaged Instance Segmentation with Graduated Camouflage Learning. 5584–5593.

Zhao, Yifan, et al.. (2024). Language-Inspired Relation Transfer for Few-Shot Class-Incremental Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(2). 1089–1102. 1 indexed citations

Wu, Qiangqiang, et al.. (2024). Joint Spatio-Temporal Similarity and Discrimination Learning for Visual Tracking. IEEE Transactions on Circuits and Systems for Video Technology. 34(8). 7284–7300. 8 indexed citations

Li, Jia, et al.. (2023). HAMFace: Hardness adaptive margin loss for face recognition with various intra-class variations. Expert Systems with Applications. 240. 122384–122384. 7 indexed citations

Zhao, Yifan, et al.. (2023). Dual Adaptive Representation Alignment for Cross-Domain Few-Shot Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(10). 11720–11732. 28 indexed citations

10.

Fu, Kui, et al.. (2022). Joint self-supervised and reference-guided learning for depth inpainting. Computational Visual Media. 8(4). 597–612. 3 indexed citations

11.

Liu, Bing, Kuiliang Gao, Anzhu Yu, et al.. (2022). ES2FL: Ensemble Self-Supervised Feature Learning for Small Sample Classification of Hyperspectral Images. Remote Sensing. 14(17). 4236–4236. 14 indexed citations

12.

Zhao, Yifan, Jia Li, Xiaowu Chen, & Yonghong Tian. (2021). Part-Guided Relational Transformers for Fine-Grained Visual Recognition. IEEE Transactions on Image Processing. 30. 9470–9481. 36 indexed citations

13.

Guo, Xin, Yifan Zhao, & Jia Li. (2021). DanceIt: Music-Inspired Dancing Video Synthesis. IEEE Transactions on Image Processing. 30. 5559–5572. 9 indexed citations

14.

Li, Jia, et al.. (2021). <italic>Q</italic>-matrix estimation (validation) methods for cognitive diagnosis. Advances in Psychological Science. 29(12). 2272–2280.

15.

Li, Jia, et al.. (2020). Model-Guided Multi-Path Knowledge Aggregation for Aerial Saliency Prediction. IEEE Transactions on Image Processing. 29. 7117–7127. 5 indexed citations

16.

Ge, Shiming, Shengwei Zhao, Chenyu Li, Yu Zhang, & Jia Li. (2020). Efficient Low-Resolution Face Recognition via Bridge Distillation. IEEE Transactions on Image Processing. 29. 6898–6908. 52 indexed citations

17.

Li, Jia, et al.. (2019). Attentive Deep Stitching and Quality Assessment for 360$^{\circ }$ Omnidirectional Images. IEEE Journal of Selected Topics in Signal Processing. 14(1). 209–221. 25 indexed citations

18.

Liu, Jingfang, et al.. (2018). Adverse Drug Reaction Related Post Detecting Using Sentiment Feature. SHILAP Revista de lepidopterología. 2 indexed citations

19.

Fu, Qiang, et al.. (2016). Structure‐adaptive Shape Editing for Man‐made Objects. Computer Graphics Forum. 35(2). 27–36. 12 indexed citations

20.

Li, Jia, Pengzhu Zhang, & Jinwei Cao. (2009). External concept support for group support systems through Web mining. Journal of the American Society for Information Science and Technology. 60(5). 1057–1070. 6 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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