Li Dong

122 total papers · 8.0k total citations
63 papers, 2.8k citations indexed

About

Li Dong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Li Dong has authored 63 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 11 papers in Information Systems. Recurrent topics in Li Dong's work include Topic Modeling (35 papers), Natural Language Processing Techniques (33 papers) and Multimodal Machine Learning Applications (15 papers). Li Dong is often cited by papers focused on Topic Modeling (35 papers), Natural Language Processing Techniques (33 papers) and Multimodal Machine Learning Applications (15 papers). Li Dong collaborates with scholars based in China, United States and United Kingdom. Li Dong's co-authors include Mirella Lapata, Furu Wei, Jianpeng Cheng, Ke Xu, Ming Zhou, Duyu Tang, Chuanqi Tan, Shaohan Huang, Yaru Hao and Song Xia and has published in prestigious journals such as Information Sciences, Applied Soft Computing and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Li Dong

56 papers receiving 2.6k citations

Hit Papers

Adaptive Recursive Neural... 2014 2026 2018 2022 2014 2016 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Li Dong 2.3k 640 362 129 77 63 2.8k
Bo Han 2.0k 0.9× 621 1.0× 323 0.9× 179 1.4× 47 0.6× 125 2.7k
Lifeng Shang 1.5k 0.6× 890 1.4× 250 0.7× 115 0.9× 60 0.8× 81 2.1k
Liping Jing 1.5k 0.6× 791 1.2× 447 1.2× 167 1.3× 66 0.9× 136 2.2k
Peng Zhou 1.7k 0.8× 768 1.2× 237 0.7× 143 1.1× 98 1.3× 89 2.5k
Ran Gilad-Bachrach 1.6k 0.7× 710 1.1× 305 0.8× 144 1.1× 97 1.3× 46 2.5k
Chaoqun Li 1.4k 0.6× 351 0.5× 382 1.1× 93 0.7× 92 1.2× 72 1.9k
Jakob Uszkoreit 2.5k 1.1× 1.0k 1.6× 327 0.9× 206 1.6× 75 1.0× 23 3.1k
Wenyuan Dai 2.0k 0.9× 823 1.3× 367 1.0× 155 1.2× 78 1.0× 30 2.9k
Wei Xu 2.8k 1.2× 663 1.0× 351 1.0× 118 0.9× 136 1.8× 132 3.4k
Ankur P. Parikh 1.7k 0.7× 614 1.0× 268 0.7× 97 0.8× 69 0.9× 32 2.0k

Countries citing papers authored by Li Dong

Since Specialization
Citations

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

Fields of papers citing papers by Li Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Dong

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