Jintao Li

207 total papers · 4.5k total citations
144 papers, 3.0k citations indexed

About

Jintao Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Jintao Li has authored 144 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Computer Vision and Pattern Recognition, 33 papers in Artificial Intelligence and 12 papers in Signal Processing. Recurrent topics in Jintao Li's work include Advanced Image and Video Retrieval Techniques (52 papers), Video Analysis and Summarization (26 papers) and Image Retrieval and Classification Techniques (21 papers). Jintao Li is often cited by papers focused on Advanced Image and Video Retrieval Techniques (52 papers), Video Analysis and Summarization (26 papers) and Image Retrieval and Classification Techniques (21 papers). Jintao Li collaborates with scholars based in China, United States and Singapore. Jintao Li's co-authors include Yongdong Zhang, Sheng Tang, Juan Cao, Tian Xia, Shuicheng Yan, Tat‐Seng Chua, Xiao Wu, Loong‐Fah Cheong, Ju Sun and Qi Tian and has published in prestigious journals such as Nature Communications, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Jintao Li

133 papers receiving 3.0k citations

Hit Papers

A density-based method fo... 2008 2026 2014 2020 2008 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jintao Li 1.3k 765 220 217 209 144 3.0k
Michael Friendly 583 0.4× 580 0.8× 138 0.6× 129 0.6× 256 1.2× 87 3.4k
Chengcui Zhang 928 0.7× 493 0.6× 91 0.4× 223 1.0× 60 0.3× 145 2.5k
Li Liu 1.4k 1.1× 865 1.1× 128 0.6× 258 1.2× 228 1.1× 287 5.3k
Feng Zhang 524 0.4× 348 0.5× 173 0.8× 104 0.5× 236 1.1× 282 3.8k
Brian M. Kleiner 390 0.3× 488 0.6× 166 0.8× 161 0.7× 206 1.0× 87 5.4k
Khalid Mahmood Malik 463 0.4× 676 0.9× 143 0.7× 187 0.9× 111 0.5× 153 2.2k
Qi Xuan 293 0.2× 1.1k 1.4× 128 0.6× 441 2.0× 241 1.2× 244 4.0k
Lei Gao 361 0.3× 425 0.6× 294 1.3× 108 0.5× 145 0.7× 203 4.9k
Wenwen Li 392 0.3× 657 0.9× 274 1.2× 286 1.3× 55 0.3× 257 4.8k
Mingzhe Liu 644 0.5× 1.1k 1.4× 83 0.4× 312 1.4× 203 1.0× 262 4.6k

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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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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