Conglei Shi

27 total papers · 1.3k total citations
19 papers, 912 citations indexed

About

Conglei Shi is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Computer Science Applications. According to data from OpenAlex, Conglei Shi has authored 19 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 6 papers in Statistical and Nonlinear Physics and 5 papers in Computer Science Applications. Recurrent topics in Conglei Shi's work include Data Visualization and Analytics (13 papers), Complex Network Analysis Techniques (6 papers) and Image and Video Quality Assessment (4 papers). Conglei Shi is often cited by papers focused on Data Visualization and Analytics (13 papers), Complex Network Analysis Techniques (6 papers) and Image and Video Quality Assessment (4 papers). Conglei Shi collaborates with scholars based in Hong Kong, United States and China. Conglei Shi's co-authors include Huamin Qu, Shi‐Xia Liu, Weiwei Cui, Qing Chen, Yangqiu Song, Zekai J. Gao, Li Tan, Xin Tong, Siwei Fu and Nan Cao and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum and Lecture notes in computer science.

In The Last Decade

Conglei Shi

19 papers receiving 888 citations

Author Peers

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

Author Last Decade Papers Cites
Conglei Shi 601 346 165 163 158 19 912
Younah Kang 882 1.5× 352 1.0× 111 0.7× 82 0.5× 63 0.4× 31 1.2k
James Eagan 670 1.1× 326 0.9× 127 0.8× 48 0.3× 146 0.9× 27 1.1k
Marian Dörk 693 1.2× 295 0.9× 88 0.5× 149 0.9× 41 0.3× 55 1.1k
Lucy Nowell 823 1.4× 398 1.2× 215 1.3× 139 0.9× 39 0.2× 19 1.1k
G. Robertson 462 0.8× 208 0.6× 92 0.6× 55 0.3× 27 0.2× 28 1.1k
Stefan Siersdorfer 361 0.6× 512 1.5× 62 0.4× 83 0.5× 94 0.6× 41 997
Alexander J. Quinn 233 0.4× 318 0.9× 72 0.4× 22 0.1× 523 3.3× 23 1.0k
Da Cao 484 0.8× 486 1.4× 38 0.2× 45 0.3× 84 0.5× 42 1.0k
Caroline Ziemkiewicz 739 1.2× 318 0.9× 113 0.7× 56 0.3× 47 0.3× 28 991
Dominik Sacha 759 1.3× 401 1.2× 213 1.3× 44 0.3× 32 0.2× 27 1.1k

Countries citing papers authored by Conglei Shi

Since Specialization
Citations

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

Fields of papers citing papers by Conglei Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Conglei Shi

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