Nan Duan

374 total papers · 15.6k total citations
155 papers, 6.6k citations indexed

About

Nan Duan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Nan Duan has authored 155 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Artificial Intelligence, 66 papers in Computer Vision and Pattern Recognition and 19 papers in Information Systems. Recurrent topics in Nan Duan's work include Topic Modeling (107 papers), Natural Language Processing Techniques (85 papers) and Multimodal Machine Learning Applications (59 papers). Nan Duan is often cited by papers focused on Topic Modeling (107 papers), Natural Language Processing Techniques (85 papers) and Multimodal Machine Learning Applications (59 papers). Nan Duan collaborates with scholars based in China, United Kingdom and United States. Nan Duan's co-authors include Ming Zhou, Daxin Jiang, Duyu Tang, Ming Gong, Daya Guo, Linjun Shou, Zhangyin Feng, Bing Qin, Xiaocheng Feng and Ting Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Nature Methods.

In The Last Decade

Nan Duan

148 papers receiving 6.4k citations

Hit Papers

CodeBERT: A Pre-Trained M... 2020 2026 2022 2024 2020 2020 2022 2024 2022 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. CodeBERT: A Pre-Trained Model for Programming and Natural Languages
    2020 1.3k citations Zhangyin Feng, Daya Guo et al. profile →
  2. Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training
    2020 476 citations Gen Li, Nan Duan et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
  3. CLIP4Clip: An empirical study of CLIP for end to end video clip retrieval and captioning
    2022 350 citations Huaishao Luo, Lei Ji et al. Neurocomputing profile →
  4. scGPT: toward building a foundation model for single-cell multi-omics using generative AI
    2024 307 citations Haotian Cui, Xiaoming Wang et al. Nature Methods profile →
  5. UniXcoder: Unified Cross-Modal Pre-training for Code Representation
    2022 290 citations Daya Guo, Shuai Lu et al. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) profile →
  6. GraphCodeBERT: Pre-training Code Representations with Data Flow
    2021 261 citations Daya Guo, Shuo Ren et al. profile →
  7. K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters
    2021 216 citations Ruize Wang, Duyu Tang et al. profile →
  8. Automating code review activities by large-scale pre-training
    2022 87 citations Zhiyu Li, Shuai Lu et al. profile →
  9. AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
    2024 59 citations Wanjun Zhong, Yiduo Guo et al. profile →

Author Peers

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

Author Last Decade Papers Cites
Nan Duan 4.3k 2.0k 1.8k 787 586 155 6.6k
Daxin Jiang 3.4k 0.8× 2.3k 1.2× 1.3k 0.7× 627 0.8× 770 1.3× 129 5.7k
Graham Neubig 6.5k 1.5× 1.2k 0.6× 1.8k 1.0× 370 0.5× 410 0.7× 278 8.0k
Bing Qin 7.0k 1.6× 2.1k 1.0× 555 0.3× 536 0.7× 530 0.9× 233 8.6k
Duyu Tang 6.2k 1.4× 2.1k 1.0× 598 0.3× 635 0.8× 549 0.9× 59 7.7k
Jing Jiang 5.1k 1.2× 2.4k 1.2× 946 0.5× 281 0.4× 514 0.9× 166 7.4k
Ming Zhou 10.6k 2.5× 3.6k 1.8× 1.7k 0.9× 753 1.0× 752 1.3× 211 12.7k
Ting Liu 4.7k 1.1× 1.6k 0.8× 428 0.2× 507 0.6× 414 0.7× 127 5.8k
Qinghua Zheng 3.7k 0.9× 2.3k 1.2× 1.7k 0.9× 420 0.5× 844 1.4× 440 7.5k
Luke Zettlemoyer 8.4k 1.9× 1.2k 0.6× 2.6k 1.4× 233 0.3× 289 0.5× 170 9.7k
Percy Liang 12.1k 2.8× 1.6k 0.8× 3.7k 2.0× 290 0.4× 484 0.8× 147 13.9k

Countries citing papers authored by Nan Duan

Since Specialization
Citations

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

Fields of papers citing papers by Nan Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Duan

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Duan. A scholar is included among the top collaborators of Nan Duan 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 Nan Duan. Nan Duan 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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2026