Dawei Feng

127 total papers · 1.8k total citations
64 papers, 1.1k citations indexed

About

Dawei Feng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Dawei Feng has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 10 papers in Computer Networks and Communications. Recurrent topics in Dawei Feng's work include Reinforcement Learning in Robotics (13 papers), Multimodal Machine Learning Applications (8 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Dawei Feng is often cited by papers focused on Reinforcement Learning in Robotics (13 papers), Multimodal Machine Learning Applications (8 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Dawei Feng collaborates with scholars based in China, United Kingdom and France. Dawei Feng's co-authors include Kele Xu, Haibo Mi, Sen Yang, Dongsheng Li, Wei Wang, Xiangliang Zhang, Jiqiang Liu, Xing Wang, Zhen Han and Linbo Qiao and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Dawei Feng

49 papers receiving 1.0k citations

Hit Papers

Exploring Permission-Indu... 2014 2026 2018 2022 2014 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Dawei Feng 424 274 270 240 178 64 1.1k
Avleen Malhi 458 1.1× 295 1.1× 82 0.3× 209 0.9× 129 0.7× 54 1.3k
Arpit Jain 258 0.6× 336 1.2× 85 0.3× 246 1.0× 175 1.0× 100 1.3k
Steven A. Harp 553 1.3× 143 0.5× 118 0.4× 184 0.8× 37 0.2× 27 1.1k
Neelu Khare 529 1.2× 340 1.2× 188 0.7× 128 0.5× 293 1.6× 43 1.2k
Azhar Imran 430 1.0× 170 0.6× 109 0.4× 158 0.7× 548 3.1× 75 1.3k
Xu Zhang 475 1.1× 484 1.8× 62 0.2× 193 0.8× 63 0.4× 52 1.1k
Fatma Taher 458 1.1× 161 0.6× 99 0.4× 90 0.4× 479 2.7× 109 1.2k
Xiaodong Zhu 351 0.8× 79 0.3× 231 0.9× 252 1.1× 36 0.2× 85 919
Hammam Alshazly 400 0.9× 163 0.6× 262 1.0× 161 0.7× 355 2.0× 40 1.3k
Yanhui Guo 325 0.8× 173 0.6× 139 0.5× 205 0.9× 72 0.4× 65 1.1k

Countries citing papers authored by Dawei Feng

Since Specialization
Citations

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

Fields of papers citing papers by Dawei Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dawei Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Dawei Feng. A scholar is included among the top collaborators of Dawei Feng 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 Dawei Feng. Dawei Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026