Jintao Li

2.3k total citations · 1 hit paper
67 papers, 1.4k citations indexed

About

Jintao Li is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Jintao Li has authored 67 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Vision and Pattern Recognition, 25 papers in Signal Processing and 15 papers in Artificial Intelligence. Recurrent topics in Jintao Li's work include Video Coding and Compression Technologies (18 papers), Advanced Image and Video Retrieval Techniques (18 papers) and Video Analysis and Summarization (12 papers). Jintao Li is often cited by papers focused on Video Coding and Compression Technologies (18 papers), Advanced Image and Video Retrieval Techniques (18 papers) and Video Analysis and Summarization (12 papers). Jintao Li collaborates with scholars based in China, United States and Singapore. Jintao Li's co-authors include Yongdong Zhang, Ji Wan, Steven C. H. Hoi, Pengcheng Wu, D. Wang, Jianke Zhu, Sheng Tang, Puming Wang, Laurence T. Yang and Yanfei Shen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and Neurocomputing.

In The Last Decade

Jintao Li

63 papers receiving 1.3k citations

Hit Papers

align trajectories

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.

Deep Learning for Content-Based Image Retrieval

2014 544 citations Yongdong Zhang, Jintao Li et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jintao Li China	16	934	414	219	106	103	67	1.4k
José M. Martínez Spain	19	1.0k 1.1×	247 0.6×	248 1.1×	73 0.7×	88 0.9×	133	1.3k
Jianping Fan China	19	562 0.6×	541 1.3×	125 0.6×	148 1.4×	116 1.1×	86	1.4k
Lauro Snidaro Italy	17	556 0.6×	437 1.1×	128 0.6×	160 1.5×	72 0.7×	72	1.1k
Haoxiang Wang China	16	645 0.7×	405 1.0×	169 0.8×	306 2.9×	88 0.9×	45	1.5k
Feng Ding China	20	508 0.5×	310 0.7×	89 0.4×	114 1.1×	94 0.9×	49	1.0k
Simon S. Woo South Korea	19	623 0.7×	528 1.3×	277 1.3×	282 2.7×	43 0.4×	128	1.4k
Stefano Rovetta Italy	17	670 0.7×	791 1.9×	256 1.2×	100 0.9×	243 2.4×	103	1.6k
Fatih Kurugöllü United Kingdom	21	875 0.9×	441 1.1×	307 1.4×	285 2.7×	151 1.5×	110	1.7k

Countries citing papers authored by Jintao Li

Since Specialization

Citations

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

Fields of papers citing papers by Jintao Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jintao Li

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

All Works

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20 of 20 papers shown

1.

Liu, He, et al.. (2025). DSA-YOLO: A lightweight framework for industrial defect detection based on YOLOv11 with two-stage cascaded knowledge distillation. Signal Image and Video Processing. 19(14).

2.

Wei, Bing, et al.. (2024). A Divide-and-Rule Combined Learning Method for Truly Multivariate Time Series Prediction. International Journal of Pattern Recognition and Artificial Intelligence. 38(10). 2 indexed citations

3.

Chang, Fengtian, Kai Ding, Jintao Li, et al.. (2023). A CNN-LSTM and Attention-Mechanism-Based Resistance Spot Welding Quality Online Detection Method for Automotive Bodies. Mathematics. 11(22). 4570–4570. 12 indexed citations

4.

Wang, Jianhua, Jintao Li, Feng Zhang, et al.. (2022). An Adaptive Elastic Multi-model Big Data Analysis and Information Extraction System. Data Science and Engineering. 7(4). 328–338. 5 indexed citations

5.

Yan, Rui, et al.. (2021). Research Progress of Cancer Classification Based on Deep Learning and Histopathological Images. SHILAP Revista de lepidopterología. 1 indexed citations

6.

Wang, Puming, et al.. (2019). Data-driven software defined network attack detection : State-of-the-art and perspectives. Information Sciences. 513. 65–83. 29 indexed citations

7.

Wang, Puming, et al.. (2018). Data fusion in cyber-physical-social systems: State-of-the-art and perspectives. Information Fusion. 51. 42–57. 91 indexed citations

8.

Gao, Xingyu, Zhenyu Chen, Sheng Tang, Yongdong Zhang, & Jintao Li. (2015). Adaptive weighted imbalance learning with application to abnormal activity recognition. Neurocomputing. 173. 1927–1935. 77 indexed citations

9.

Dai, Feng, et al.. (2010). Restricted H.264/AVC video coding for privacy region scrambling. 2089–2092. 13 indexed citations

10.

Xu, Yan, et al.. (2008). An extended document frequency metric for feature selection in text categorization. 71–82. 8 indexed citations

11.

Li, Jintao, et al.. (2008). A User-centric Task Computing Architecture for Pervasive Computing. 491–496. 2 indexed citations

12.

Wu, Xiao, Yongdong Zhang, Junbo Guo, & Jintao Li. (2008). Web video recommendation and long tail discovering. 17. 369–372. 7 indexed citations

13.

Tang, Sheng, et al.. (2007). TRECVID 2007 High-Level Feature Extraction By MCG-ICT-CAS *. TRECVID. 30 indexed citations

14.

Su, Xiaoli, et al.. (2007). A User-Centric Pervasive Computing Services Model for Medical and Health-care. 41. 841–846. 3 indexed citations

15.

Xu, Yang, et al.. (2007). A study on mutual information-based feature selectionfor text categorization. 25 indexed citations

16.

Li, Jintao, et al.. (2006). Fast Picture and Macroblock Level Adaptive Frame/Field Coding for H.264. 768–771.

17.

Shen, Yanfei, Dongming Zhang, Yongdong Zhang, & Jintao Li. (2006). Motion adaptive deinterlacing of video data with texture detection. IEEE Transactions on Consumer Electronics. 52(4). 1403–1408. 12 indexed citations

18.

Li, Jintao. (2005). Slice-based Parallel Algorithm of H.264 Video Encoder. Jisuanji gongcheng. 1 indexed citations

19.

Wang, Ronggang, Mo Li, Jintao Li, & Yongdong Zhang. (2005). High throughput and low memory access sub-pixel interpolation architecture for H.264/AVC HDTV decoder. IEEE Transactions on Consumer Electronics. 51(3). 1006–1013. 28 indexed citations

20.

Liu, Hong, Wen Gao, Jun Miao, & Jintao Li. (2002). A Novel Method to Compensate Variety of Illumination in Face Detection.. 692–695. 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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