Nan Duan

15.9k total citations · 9 hit papers
155 papers, 6.8k 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 6.8k 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

150 papers receiving 6.6k citations

Hit Papers

5 papers align trajectories

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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CodeBERT: A Pre-Trained Model for Programming and Natural Languages

2020 1.4k citations Daya Guo, Duyu Tang et al. profile →
Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training

2020 479 citations Nan Duan, Yuejian Fang et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
CLIP4Clip: An empirical study of CLIP for end to end video clip retrieval and captioning

2022 361 citations Nan Duan et al. profile →
scGPT: toward building a foundation model for single-cell multi-omics using generative AI

2024 349 citations Nan Duan et al. profile →
UniXcoder: Unified Cross-Modal Pre-training for Code Representation

2022 302 citations Daya Guo, Shuai Lu et al. profile →
GraphCodeBERT: Pre-training Code Representations with Data Flow

2021 261 citations Daya Guo, Duyu Tang et al. profile →
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

2021 218 citations Ruize Wang, Duyu Tang et al. profile →
Automating code review activities by large-scale pre-training

2022 92 citations Daya Guo, Nan Duan et al. profile →
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

2024 63 citations Wanjun Zhong, Yiduo Guo et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nan Duan China	37	4.4k	2.1k	1.8k	801	599	155	6.8k
Daxin Jiang China	31	3.4k 0.8×	2.4k 1.1×	1.4k 0.7×	637 0.8×	774 1.3×	129	5.8k
Graham Neubig United States	41	6.6k 1.5×	1.2k 0.6×	1.8k 1.0×	378 0.5×	417 0.7×	280	8.1k
Duyu Tang China	30	6.3k 1.4×	2.2k 1.0×	598 0.3×	645 0.8×	554 0.9×	59	7.8k
Bing Qin China	34	7.0k 1.6×	2.1k 1.0×	567 0.3×	548 0.7×	535 0.9×	236	8.8k
Jing Jiang Singapore	39	5.1k 1.2×	2.4k 1.1×	954 0.5×	282 0.4×	516 0.9×	169	7.5k
Luke Zettlemoyer United States	51	8.5k 1.9×	1.3k 0.6×	2.6k 1.4×	237 0.3×	293 0.5×	171	9.8k
Zhi Jin China	30	3.0k 0.7×	2.9k 1.4×	434 0.2×	1.2k 1.5×	703 1.2×	304	5.1k
Xiaoyan Zhu China	38	5.1k 1.2×	1.3k 0.6×	669 0.4×	349 0.4×	212 0.4×	171	6.4k
Mehran Sahami United States	26	4.0k 0.9×	2.6k 1.2×	876 0.5×	98 0.1×	540 0.9×	74	6.2k
Ali Bou Nassif United Arab Emirates	34	2.2k 0.5×	1.5k 0.7×	376 0.2×	766 1.0×	840 1.4×	170	4.8k

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Huang, Yanqing, Jian Wang, Junlong Liu, et al.. (2024). Sedimentary microfacies of Member 5 of Xujiahe Formation in the Dongfengchang area, Sichuan Basin. Petroleum Research. 9(3). 481–488. 1 indexed citations

2.

Lu, Shuai, et al.. (2024). Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency. 1429–1450. 2 indexed citations

3.

Guo, Yiduo, Yaobo Liang, Dongyan Zhao, & Nan Duan. (2024). Large Language Models Can Learn Representation in Natural Language. 9145–9154.

4.

Zhang, Ze, Yiduo Guo, Yaobo Liang, Dongyan Zhao, & Nan Duan. (2024). PPTC-R benchmark: Towards Evaluating the Robustness of Large Language Models for PowerPoint Task Completion. 12387–12402. 1 indexed citations

5.

Ni, Minheng, Chenfei Wu, Xiaodong Wang, et al.. (2024). ORES: Open-Vocabulary Responsible Visual Synthesis. Proceedings of the AAAI Conference on Artificial Intelligence. 38(19). 21473–21481. 2 indexed citations

6.

Xu, Canwen, Daya Guo, Nan Duan, & Julian McAuley. (2023). Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data. 6268–6278. 59 indexed citations

7.

Xiao, Xu, et al.. (2023). BridgeTower: Building Bridges between Encoders in Vision-Language Representation Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 37(9). 10637–10647. 24 indexed citations

8.

Wang, Xiaodong, Chenfei Wu, Shengming Yin, et al.. (2023). Learning 3D Photography Videos via Self-supervised Diffusion on Single Images. 1506–1514. 1 indexed citations

9.

Shao, Zhihong, Yeyun Gong, Yelong Shen, et al.. (2023). Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy. 9248–9274. 58 indexed citations

10.

Jian, Liu, Leyang Cui, Zhiyang Teng, et al.. (2023). LogiQA 2.0—An Improved Dataset for Logical Reasoning in Natural Language Understanding. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 2947–2962. 8 indexed citations

11.

Li, Xiaonan, Daya Guo, Yeyun Gong, et al.. (2022). Soft-Labeled Contrastive Pre-Training for Function-Level Code Representation. 118–129. 5 indexed citations

12.

Zhou, Kun, Yeyun Gong, Xiao Liu, et al.. (2022). SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval. 548–559. 11 indexed citations

13.

Li, Xiaonan, Yeyun Gong, Yelong Shen, et al.. (2022). CodeRetriever: A Large Scale Contrastive Pre-Training Method for Code Search. 2898–2910. 11 indexed citations

14.

Hu, Linmei, Tianchi Yang, Wanjun Zhong, et al.. (2021). Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge. 754–763. 120 indexed citations

15.

Wang, Ruize, Duyu Tang, Nan Duan, et al.. (2021). K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters. 1405–1418. 218 indexed citations breakdown →

16.

Hu, Linmei, Chen Li, Cheng Yang, et al.. (2020). Graph Neural News Recommendation with Unsupervised Preference Disentanglement. 4255–4264. 82 indexed citations

17.

Zhong, Wanjun, Duyu Tang, Ruize Wang, et al.. (2020). Neural Deepfake Detection with Factual Structure of Text. 2461–2470. 25 indexed citations

18.

Qi, Weizhen, Yu Yan, Yeyun Gong, et al.. (2020). ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-training. 2401–2410. 199 indexed citations

19.

Duan, Nan, Duyu Tang, Peng Chen, & Ming Zhou. (2017). Question Generation for Question Answering. 866–874. 163 indexed citations

20.

Zhao, Yan, et al.. (2016). DocChat: An Information Retrieval Approach for Chatbot Engines Using Unstructured Documents. 516–525. 72 indexed citations

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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