Hongwei Ge

238 total papers · 2.4k total citations
140 papers, 1.6k citations indexed

About

Hongwei Ge is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Hongwei Ge has authored 140 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 45 papers in Computer Vision and Pattern Recognition and 19 papers in Control and Systems Engineering. Recurrent topics in Hongwei Ge's work include Metaheuristic Optimization Algorithms Research (26 papers), Video Surveillance and Tracking Methods (16 papers) and Evolutionary Algorithms and Applications (16 papers). Hongwei Ge is often cited by papers focused on Metaheuristic Optimization Algorithms Research (26 papers), Video Surveillance and Tracking Methods (16 papers) and Evolutionary Algorithms and Applications (16 papers). Hongwei Ge collaborates with scholars based in China, United States and Canada. Hongwei Ge's co-authors include Liang Sun, Yanchun Liang, Feng Qian, Chunguo Wu, Guozhen Tan, Yaqing Hou, Liang Sun, Yanchun Liang, Wenli Du and Heow Pueh Lee and has published in prestigious journals such as PLoS ONE, Automatica and IEEE Transactions on Image Processing.

In The Last Decade

Hongwei Ge

124 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Hongwei Ge 686 355 328 256 223 140 1.6k
Iyad Abu Doush 1.1k 1.5× 355 1.0× 204 0.6× 320 1.3× 250 1.1× 104 2.3k
Pei‐Wei Tsai 790 1.2× 260 0.7× 242 0.7× 228 0.9× 434 1.9× 90 2.0k
Raed Abu Zitar 1000 1.5× 419 1.2× 298 0.9× 263 1.0× 191 0.9× 122 2.4k
Hanning Chen 695 1.0× 265 0.7× 202 0.6× 357 1.4× 192 0.9× 123 1.9k
Amar Ramdane-Chérif 524 0.8× 464 1.3× 260 0.8× 115 0.4× 251 1.1× 154 1.7k
Adam Słowik 1.0k 1.5× 251 0.7× 317 1.0× 363 1.4× 305 1.4× 113 2.4k
Zaid Abdi Alkareem Alyasseri 935 1.4× 284 0.8× 314 1.0× 194 0.8× 264 1.2× 90 2.4k
Qidi Wu 325 0.5× 216 0.6× 486 1.5× 211 0.8× 338 1.5× 153 1.8k
Pedro U. Lima 487 0.7× 747 2.1× 463 1.4× 227 0.9× 609 2.7× 181 2.1k
Michael G. Kay 445 0.6× 306 0.9× 288 0.9× 85 0.3× 180 0.8× 66 1.6k

Countries citing papers authored by Hongwei Ge

Since Specialization
Citations

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

Fields of papers citing papers by Hongwei Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongwei Ge

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