Hongwei Hao

270 total papers · 6.7k total citations
171 papers, 4.5k citations indexed

About

Hongwei Hao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Hongwei Hao has authored 171 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 34 papers in Computer Vision and Pattern Recognition and 30 papers in Cognitive Neuroscience. Recurrent topics in Hongwei Hao's work include Neurological disorders and treatments (27 papers), Neuroscience and Neural Engineering (25 papers) and EEG and Brain-Computer Interfaces (24 papers). Hongwei Hao is often cited by papers focused on Neurological disorders and treatments (27 papers), Neuroscience and Neural Engineering (25 papers) and EEG and Brain-Computer Interfaces (24 papers). Hongwei Hao collaborates with scholars based in China, United States and Japan. Hongwei Hao's co-authors include Bo Xu, Xu-Cheng Yin, Zhenyu Qi, Bingchen Li, Peng Zhou, Jun Tian, Wei Shi, Kaizhu Huang, Xuwang Yin and Jiaming Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.

In The Last Decade

Hongwei Hao

162 papers receiving 4.3k citations

Hit Papers

Attention-Based Bidirecti... 2013 2026 2017 2021 2016 2013 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Hongwei Hao 1.9k 1.1k 441 427 377 171 4.5k
Chih‐Wei Hsu 1.3k 0.7× 988 0.9× 317 0.7× 283 0.7× 363 1.0× 167 5.4k
Hongzhi Wang 1.5k 0.8× 1.4k 1.3× 379 0.9× 158 0.4× 620 1.6× 429 6.2k
Tuan D. Pham 1.1k 0.6× 1.2k 1.1× 254 0.6× 256 0.6× 432 1.1× 292 4.2k
Jennifer Dy 3.3k 1.7× 1.9k 1.7× 407 0.9× 236 0.6× 490 1.3× 209 7.2k
Kemal Polat 2.9k 1.5× 1.3k 1.2× 492 1.1× 239 0.6× 568 1.5× 238 7.8k
Jun Wang 2.5k 1.3× 1.8k 1.7× 274 0.6× 288 0.7× 310 0.8× 326 6.4k
N. Arunkumar 984 0.5× 926 0.8× 556 1.3× 165 0.4× 165 0.4× 110 4.9k
Javier Ramı́rez 2.0k 1.0× 1.7k 1.6× 235 0.5× 212 0.5× 511 1.4× 264 6.6k
Manuel Graña 1.6k 0.8× 975 0.9× 184 0.4× 396 0.9× 164 0.4× 306 4.7k
Lipo Wang 2.2k 1.2× 1.4k 1.3× 467 1.1× 298 0.7× 608 1.6× 187 6.8k

Countries citing papers authored by Hongwei Hao

Since Specialization
Citations

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

Fields of papers citing papers by Hongwei Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongwei Hao

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