Chengming Li

152 total papers · 1.5k total citations
77 papers, 851 citations indexed

About

Chengming Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Chengming Li has authored 77 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 14 papers in Computer Networks and Communications. Recurrent topics in Chengming Li's work include Topic Modeling (16 papers), Multimodal Machine Learning Applications (10 papers) and Natural Language Processing Techniques (9 papers). Chengming Li is often cited by papers focused on Topic Modeling (16 papers), Multimodal Machine Learning Applications (10 papers) and Natural Language Processing Techniques (9 papers). Chengming Li collaborates with scholars based in China, Japan and United States. Chengming Li's co-authors include Min Yang, Ying Shen, Qingshan Jiang, Koji Okamura, Zhilin Li, Christopher Gold, Jun Chen, Lifei Chen, Xiping Hu and Ruifeng Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and IEEE Communications Magazine.

In The Last Decade

Chengming Li

73 papers receiving 813 citations

Author Peers

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

Author						Papers	Cites
Chengming Li	341	186	175	133	113	77	851
Xiaoyang Wang	396 1.2×	191 1.0×	139 0.8×	159 1.2×	134 1.2×	94	949
Kai Wang	252 0.7×	241 1.3×	214 1.2×	143 1.1×	250 2.2×	78	1.0k
Juan Chen	252 0.7×	325 1.7×	149 0.9×	101 0.8×	114 1.0×	94	788
Elena Verdú	246 0.7×	120 0.6×	156 0.9×	150 1.1×	71 0.6×	72	949
Jinbao Wang	253 0.7×	240 1.3×	151 0.9×	180 1.4×	143 1.3×	74	837
Jae-Gil Lee	214 0.6×	127 0.7×	74 0.4×	88 0.7×	93 0.8×	31	887
Lihua Yue	279 0.8×	349 1.9×	195 1.1×	188 1.4×	135 1.2×	101	884
Yuhua Liu	175 0.5×	160 0.9×	180 1.0×	47 0.4×	63 0.6×	112	809
Sayan Ranu	264 0.8×	192 1.0×	202 1.2×	167 1.3×	305 2.7×	63	928
Zengfeng Huang	480 1.4×	246 1.3×	157 0.9×	128 1.0×	153 1.4×	44	717

Countries citing papers authored by Chengming Li

Since Specialization

Citations

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

Fields of papers citing papers by Chengming Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengming Li

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