Pan Li

2.0k total citations · 1 hit paper
40 papers, 886 citations indexed

About

Pan Li is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pan Li has authored 40 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 12 papers in Molecular Biology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pan Li's work include Advanced Graph Neural Networks (11 papers), Topic Modeling (4 papers) and Advanced Proteomics Techniques and Applications (4 papers). Pan Li is often cited by papers focused on Advanced Graph Neural Networks (11 papers), Topic Modeling (4 papers) and Advanced Proteomics Techniques and Applications (4 papers). Pan Li collaborates with scholars based in United States, China and Malaysia. Pan Li's co-authors include W. Andy Tao, Jian‐Kang Zhu, Anton Iliuk, Michael K. Wendt, Chuan‐Chih Hsu, Sebastian Juan Paez, I‐Hsuan Chen, Liang Xue, Jure Leskovec and Kai Tang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Pan Li

38 papers receiving 873 citations

Hit 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.

Phosphoproteins in extracellular vesicles as candidate markers for breast cancer

2017 354 citations I‐Hsuan Chen, Liang Xue et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pan Li United States	14	579	191	172	152	98	40	886
Han‐Yu Chuang United States	13	2.1k 3.7×	333 1.7×	86 0.5×	94 0.6×	40 0.4×	29	2.6k
Duolin Wang United States	15	874 1.5×	99 0.5×	140 0.8×	77 0.5×	24 0.2×	43	1.2k
Laurence Calzone France	25	2.0k 3.4×	166 0.9×	76 0.4×	53 0.3×	91 0.9×	69	2.3k
Robert Kincaid United States	15	340 0.6×	66 0.3×	84 0.5×	90 0.6×	50 0.5×	34	905
Michael L. Blinov United States	21	1.7k 3.0×	36 0.2×	70 0.4×	44 0.3×	72 0.7×	48	2.1k
Anna Ritz United States	16	414 0.7×	71 0.4×	44 0.3×	39 0.3×	12 0.1×	41	623
Gargi Debnath United States	13	332 0.6×	75 0.4×	14 0.1×	295 1.9×	31 0.3×	13	1.0k
Andrew Winter United Kingdom	11	1.7k 3.0×	150 0.8×	60 0.3×	102 0.7×	17 0.2×	17	2.0k
Tin Nguyen United States	21	1.4k 2.5×	206 1.1×	49 0.3×	85 0.6×	30 0.3×	70	1.9k
Hong Jin China	21	857 1.5×	138 0.7×	31 0.2×	43 0.3×	50 0.5×	40	1.2k

Countries citing papers authored by Pan Li

Since Specialization

Citations

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

Fields of papers citing papers by Pan Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pan Li

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

Ying, Rex, et al.. (2025). Towards unveiling sensitive and decisive patterns in explainable AI with a case study in geometric deep learning. Nature Machine Intelligence. 7(3). 471–483. 2 indexed citations

Hu, Guoxiang, et al.. (2025). MatterTune: an integrated, user-friendly platform for fine-tuning atomistic foundation models to accelerate materials simulation and discovery. Digital Discovery. 4(8). 2253–2262. 1 indexed citations

Li, Pan, et al.. (2024). Learning Scalable Structural Representations for Link Prediction with Bloom Signatures. 980–991.

Li, Pan, et al.. (2024). An AI based cross‐language aspect‐level sentiment analysis model using English corpus. Engineering Reports. 6(12). 2 indexed citations

Shi, Chuan, et al.. (2023). Distance Information Improves Heterogeneous Graph Neural Networks. IEEE Transactions on Knowledge and Data Engineering. 36(3). 1030–1043. 2 indexed citations

Liu, Shikun, et al.. (2023). Semi-supervised graph neural networks for pileup noise removal. The European Physical Journal C. 83(1). 4 indexed citations

Zhang, Lingli, WU Ya, Pan Li, et al.. (2023). SA-Model: Multi-Feature Fusion Poetic Sentiment Analysis Based on a Hybrid Word Vector Model. Computer Modeling in Engineering & Sciences. 137(1). 631–645. 5 indexed citations

Wang, Yanbang, et al.. (2021). Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks. International Conference on Learning Representations. 7 indexed citations

Li, Pan, Yanbang Wang, Hongwei Wang, & Jure Leskovec. (2020). Distance Encoding -- Design Provably More Powerful GNNs for Structural Representation Learning. arXiv (Cornell University). 6 indexed citations

10.

Li, Pan, Yanbang Wang, Hongwei Wang, & Jure Leskovec. (2020). Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning. Neural Information Processing Systems. 33. 4465–4478. 5 indexed citations

11.

Wu, Tailin, Hongyu Ren, Pan Li, & Jure Leskovec. (2020). Graph Information Bottleneck. Neural Information Processing Systems. 33. 20437–20448. 6 indexed citations

12.

Abdullah, Ammara, Saeed Salehin Akhand, Sebastian Juan Paez, et al.. (2020). Epigenetic targeting of neuropilin-1 prevents bypass signaling in drug-resistant breast cancer. Oncogene. 40(2). 322–333. 27 indexed citations

13.

Li, Pan, Gregory J. Puleo, & Olgica Milenković. (2019). Motif and Hypergraph Correlation Clustering. IEEE Transactions on Information Theory. 66(5). 3065–3078. 11 indexed citations

14.

Yang, Carl, et al.. (2019). Conditional Structure Generation through Graph Variational Generative Adversarial Nets. Neural Information Processing Systems. 32. 1338–1349. 22 indexed citations

15.

Zhang, Cuijun, Xuan Du, Kai Tang, et al.. (2018). Arabidopsis AGDP1 links H3K9me2 to DNA methylation in heterochromatin. Nature Communications. 9(1). 4547–4547. 66 indexed citations

16.

Li, Pan & Olgica Milenković. (2018). Submodular Hypergraphs: p-Laplacians, Cheeger Inequalities and Spectral Clustering. International Conference on Machine Learning. 3014–3023. 7 indexed citations

17.

Duan, Cheng‐Guo, Xingang Wang, Lingrui Zhang, et al.. (2017). A protein complex regulates RNA processing of intronic heterochromatin-containing genes in Arabidopsis. Proceedings of the National Academy of Sciences. 114(35). E7377–E7384. 46 indexed citations

18.

Chen, I‐Hsuan, Liang Xue, Chuan‐Chih Hsu, et al.. (2017). Phosphoproteins in extracellular vesicles as candidate markers for breast cancer. Proceedings of the National Academy of Sciences. 114(12). 3175–3180. 354 indexed citations breakdown →

19.

Duan, Cheng‐Guo, Xingang Wang, Shaojun Xie, et al.. (2016). A pair of transposon-derived proteins function in a histone acetyltransferase complex for active DNA demethylation. Cell Research. 27(2). 226–240. 78 indexed citations

20.

Li, Pan. (2007). River Change Detection Based on Remote Sensing Imagery and Vector Data. Wuhan Daxue xuebao. Xinxi kexue ban. 1 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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