Guangming Lu

22 total papers · 1.2k total citations
12 papers, 781 citations indexed

About

Guangming Lu is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Guangming Lu has authored 12 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Molecular Biology and 2 papers in Infectious Diseases. Recurrent topics in Guangming Lu's work include Advanced Image and Video Retrieval Techniques (6 papers), Multimodal Machine Learning Applications (4 papers) and Biochemical and Molecular Research (3 papers). Guangming Lu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (6 papers), Multimodal Machine Learning Applications (4 papers) and Biochemical and Molecular Research (3 papers). Guangming Lu collaborates with scholars based in China, United Kingdom and United States. Guangming Lu's co-authors include Nader Bagherzadeh, Fadi Kurdahi, Ming-Hau Lee, Eliseu M. C. Filho, H. Singh, Zheng Zhang, Lei Zhu, Haoyang Luo, Heng Tao Shen and Fumin Shen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, eLife and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Guangming Lu

10 papers receiving 747 citations

Hit Papers

MorphoSys: an integrated ... 2000 2026 2008 2017 2000 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
Guangming Lu 526 477 164 152 91 12 781
Joe Wenjie Jiang 86 0.2× 500 1.0× 59 0.4× 263 1.7× 135 1.5× 15 865
Jan van Lunteren 512 1.0× 429 0.9× 10 0.1× 176 1.2× 309 3.4× 26 736
David Nassimi 327 0.6× 569 1.2× 217 1.3× 244 1.6× 164 1.8× 20 867
Lisa Wu 464 0.9× 431 0.9× 290 1.8× 123 0.8× 263 2.9× 16 759
Tae Jun Ham 469 0.9× 430 0.9× 321 2.0× 212 1.4× 278 3.1× 30 854
Seth H. Pugsley 616 1.2× 614 1.3× 93 0.6× 175 1.2× 107 1.2× 16 750
Jesús Corbal 460 0.9× 435 0.9× 77 0.5× 208 1.4× 83 0.9× 19 658
Daniel L. Slotnick 440 0.8× 429 0.9× 60 0.4× 175 1.2× 106 1.2× 11 732
Patrice Bertin 284 0.5× 178 0.4× 294 1.8× 126 0.8× 70 0.8× 8 659
Kyle Spafford 571 1.1× 549 1.2× 56 0.3× 96 0.6× 66 0.7× 10 703

Countries citing papers authored by Guangming Lu

Since Specialization
Citations

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

Fields of papers citing papers by Guangming Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangming Lu

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