Hong Lei

75 total papers · 559 total citations
47 papers, 279 citations indexed

About

Hong Lei is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Hong Lei has authored 47 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Electrical and Electronic Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Hong Lei's work include Sparse and Compressive Sensing Techniques (6 papers), Remote-Sensing Image Classification (4 papers) and Soil Carbon and Nitrogen Dynamics (4 papers). Hong Lei is often cited by papers focused on Sparse and Compressive Sensing Techniques (6 papers), Remote-Sensing Image Classification (4 papers) and Soil Carbon and Nitrogen Dynamics (4 papers). Hong Lei collaborates with scholars based in China, United States and Germany. Hong Lei's co-authors include Xian Hu, Xiang Cheng, Jinyong Hu, Xinpeng Wang, Minghe Luo, Yong Zhang, Conghui Wang, Xiong‐Xiong Xue, Yong Zhang and Hong‐Yu Zhang and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Signal Processing and Electrochimica Acta.

In The Last Decade

Hong Lei

41 papers receiving 274 citations

Author Peers

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

Author Last Decade Papers Cites
Hong Lei 69 67 55 39 32 47 279
Dingwen Wang 93 1.3× 72 1.1× 40 0.7× 37 0.9× 48 1.5× 42 328
Yao Yu 87 1.3× 27 0.4× 82 1.5× 40 1.0× 11 0.3× 32 310
Cristian Zet 83 1.2× 64 1.0× 26 0.5× 49 1.3× 53 1.7× 41 278
Zhaomin Chen 66 1.0× 32 0.5× 33 0.6× 34 0.9× 54 1.7× 32 288
Chang Xu 39 0.6× 53 0.8× 28 0.5× 110 2.8× 5 0.2× 41 309
Jie Chen 81 1.2× 56 0.8× 12 0.2× 101 2.6× 21 0.7× 36 330
Guanglong Wang 98 1.4× 19 0.3× 38 0.7× 68 1.7× 36 1.1× 49 303
Huan Yang 31 0.4× 29 0.4× 23 0.4× 45 1.2× 40 1.3× 49 233
Zheng Tan 17 0.2× 177 2.6× 159 2.9× 43 1.1× 12 0.4× 52 316
Matthew J. Hobbs 59 0.9× 12 0.2× 54 1.0× 63 1.6× 11 0.3× 31 304

Countries citing papers authored by Hong Lei

Since Specialization
Citations

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

Fields of papers citing papers by Hong Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Lei

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