Haohuan Fu

356 total papers · 11.1k total citations
228 papers, 4.3k citations indexed

About

Haohuan Fu is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Haohuan Fu has authored 228 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Networks and Communications, 46 papers in Computer Vision and Pattern Recognition and 46 papers in Artificial Intelligence. Recurrent topics in Haohuan Fu's work include Parallel Computing and Optimization Techniques (36 papers), Advanced Data Storage Technologies (29 papers) and Distributed and Parallel Computing Systems (24 papers). Haohuan Fu is often cited by papers focused on Parallel Computing and Optimization Techniques (36 papers), Advanced Data Storage Technologies (29 papers) and Distributed and Parallel Computing Systems (24 papers). Haohuan Fu collaborates with scholars based in China, Hong Kong and United States. Haohuan Fu's co-authors include Le Yu, Weijia Li, Runmin Dong, Juepeng Zheng, Peng Gong, Guangwen Yang, Arthur P. Cracknell, Lin Gan, Guangwen Yang and Wei Xue and has published in prestigious journals such as Physical Review Letters, Renewable and Sustainable Energy Reviews and PLoS ONE.

In The Last Decade

Haohuan Fu

211 papers receiving 4.2k citations

Hit Papers

Deep Learning Based Oil P... 2016 2026 2019 2022 2016 2016 2024 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Haohuan Fu 993 843 732 694 679 228 4.3k
Rahul Garg 370 0.4× 1.2k 1.4× 761 1.0× 309 0.4× 395 0.6× 247 3.9k
Prabhat 398 0.4× 971 1.2× 377 0.5× 583 0.8× 192 0.3× 80 4.9k
Ce Zhang 1.1k 1.1× 938 1.1× 1.7k 2.4× 294 0.4× 2.2k 3.2× 216 6.3k
Chao Wang 880 0.9× 1.4k 1.6× 1.6k 2.2× 228 0.3× 1.0k 1.5× 783 9.0k
Yi Wang 289 0.3× 706 0.8× 283 0.4× 100 0.1× 413 0.6× 182 5.1k
Ping Tang 367 0.4× 195 0.2× 884 1.2× 93 0.1× 1.0k 1.5× 224 4.5k
J. Senthilnath 1.1k 1.1× 727 0.9× 424 0.6× 193 0.3× 364 0.5× 111 3.5k
Chenn‐Jung Huang 754 0.8× 329 0.4× 192 0.3× 371 0.5× 663 1.0× 101 2.6k
Xin Hu 417 0.4× 197 0.2× 318 0.4× 744 1.1× 776 1.1× 69 2.8k
Zhilin Li 580 0.6× 1.2k 1.5× 848 1.2× 335 0.5× 492 0.7× 395 7.3k

Countries citing papers authored by Haohuan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Haohuan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haohuan Fu

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