Dejing Dou

217 total papers · 4.9k total citations
91 papers, 2.0k citations indexed

About

Dejing Dou is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Dejing Dou has authored 91 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 22 papers in Molecular Biology and 22 papers in Information Systems. Recurrent topics in Dejing Dou's work include Semantic Web and Ontologies (21 papers), Topic Modeling (20 papers) and Biomedical Text Mining and Ontologies (14 papers). Dejing Dou is often cited by papers focused on Semantic Web and Ontologies (21 papers), Topic Modeling (20 papers) and Biomedical Text Mining and Ontologies (14 papers). Dejing Dou collaborates with scholars based in United States, China and Hong Kong. Dejing Dou's co-authors include Daya C. Wimalasuriya, Daniel Lowd, Javid Ebrahimi, Anyi Rao, NhatHai Phan, Xintao Wu, Haishan Liu, Hao Wang, R Joseph and Changhwan Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Biochemical and Biophysical Research Communications.

In The Last Decade

Dejing Dou

89 papers receiving 1.9k citations

Hit Papers

HotFlip: White-Box Advers... 2018 2026 2020 2023 2018 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Dejing Dou 1.4k 393 320 275 227 91 2.0k
Bo Xu 1.1k 0.7× 339 0.9× 240 0.8× 127 0.5× 200 0.9× 154 2.2k
Jingbo Shang 1.4k 1.0× 317 0.8× 277 0.9× 161 0.6× 205 0.9× 106 2.0k
Ninghao Liu 1.4k 1.0× 359 0.9× 103 0.3× 146 0.5× 247 1.1× 70 2.1k
Yue Wang 1.1k 0.7× 334 0.8× 595 1.9× 106 0.4× 185 0.8× 155 1.8k
Gjergji Kasneci 1.3k 0.9× 469 1.2× 124 0.4× 211 0.8× 211 0.9× 58 2.0k
Lawrence Cavedon 1.3k 0.9× 235 0.6× 281 0.9× 338 1.2× 183 0.8× 104 2.0k
Niall M. Adams 1.7k 1.2× 347 0.9× 119 0.4× 308 1.1× 290 1.3× 107 2.8k
Katharina Morik 940 0.7× 271 0.7× 168 0.5× 320 1.2× 320 1.4× 129 2.1k
Marko Grobelnik 1.6k 1.1× 863 2.2× 334 1.0× 143 0.5× 360 1.6× 125 2.4k
Éric Gaussier 1.3k 0.9× 250 0.6× 197 0.6× 142 0.5× 265 1.2× 69 1.7k

Countries citing papers authored by Dejing Dou

Since Specialization
Citations

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

Fields of papers citing papers by Dejing Dou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dejing Dou

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