Chunliang Li

10.3k total citations · 2 hit papers
106 papers, 3.1k citations indexed

About

Chunliang Li is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chunliang Li has authored 106 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 29 papers in Artificial Intelligence and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chunliang Li's work include CRISPR and Genetic Engineering (15 papers), Genomics and Chromatin Dynamics (13 papers) and Pluripotent Stem Cells Research (12 papers). Chunliang Li is often cited by papers focused on CRISPR and Genetic Engineering (15 papers), Genomics and Chromatin Dynamics (13 papers) and Pluripotent Stem Cells Research (12 papers). Chunliang Li collaborates with scholars based in United States, China and Taiwan. Chunliang Li's co-authors include Tomas Pfister, Kihyuk Sohn, Jinsung Yoon, Barnabás Póczos, Ying Jin, Junjie Gu, Hongyao Yu, Ying Yang, Aswin C. Sankaranarayanan and Mitchell J. Weiss and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Chunliang Li

101 papers receiving 3.1k 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.

CutPaste: Self-Supervised Learning for Anomaly Detection and Localization

2021 502 citations Chunliang Li, Kihyuk Sohn et al. profile →
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes

2023 108 citations Cheng-Yu Hsieh, Chunliang Li et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chunliang Li United States	29	1.4k	828	546	249	231	106	3.1k
Xiaobo Zhou United States	42	2.9k 2.1×	759 0.9×	859 1.6×	202 0.8×	287 1.2×	249	5.9k
Nguyen Quoc Khanh Le Taiwan	43	2.0k 1.4×	611 0.7×	207 0.4×	181 0.7×	71 0.3×	151	3.9k
Jian Huang United States	43	2.4k 1.7×	1.5k 1.8×	453 0.8×	106 0.4×	1.3k 5.8×	240	8.4k
Chi-Sing Leung Hong Kong	35	514 0.4×	1.1k 1.4×	1.0k 1.9×	160 0.6×	114 0.5×	247	4.5k
Orly Alter United States	15	1.7k 1.2×	353 0.4×	149 0.3×	79 0.3×	250 1.1×	34	2.7k
Yongcheng Wang China	25	1.3k 0.9×	247 0.3×	255 0.5×	65 0.3×	150 0.6×	135	2.8k
Péter Horváth Hungary	36	2.0k 1.5×	220 0.3×	252 0.5×	41 0.2×	153 0.7×	159	4.2k
Ivan G. Costa Germany	39	3.0k 2.2×	634 0.8×	189 0.3×	183 0.7×	327 1.4×	124	4.9k
Michèl Schummer United States	19	3.0k 2.2×	796 1.0×	377 0.7×	57 0.2×	275 1.2×	26	4.7k
Nebojša Jojić United States	30	1.1k 0.8×	770 0.9×	1.7k 3.0×	45 0.2×	283 1.2×	126	3.9k

Countries citing papers authored by Chunliang Li

Since Specialization

Citations

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

Fields of papers citing papers by Chunliang Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunliang Li

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

Fang, Fengqin, et al.. (2025). PIKfyve Inhibition Induces Antitumor Immunogenicity by Attenuating STING Trafficking and Lysosomal Degradation. Cancer Immunology Research. 13(8). 1266–1283. 1 indexed citations

He, Ming-Hong, Xinying Zong, Beisi Xu, et al.. (2024). Dynamic Foxp3–chromatin interaction controls tunable Treg cell function. The Journal of Experimental Medicine. 221(9). 7 indexed citations

Hyle, Judith, Mohamed Nadhir Djekidel, Justin Williams, et al.. (2023). Auxin-inducible degron 2 system deciphers functions of CTCF domains in transcriptional regulation. Genome biology. 24(1). 14–14. 9 indexed citations

Hsieh, Cheng-Yu, Chunliang Li, Chih‐Kuan Yeh, et al.. (2023). Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes. 8003–8017. 108 indexed citations breakdown →

Wright, Shaela, Xujie Zhao, Wojciech Rosikiewicz, et al.. (2023). Systematic characterization of the HOXA9 downstream targets in MLL-r leukemia by noncoding CRISPR screens. Nature Communications. 14(1). 7464–7464. 4 indexed citations

Li, Chen, Feng Zhang, Yingying Huang, et al.. (2023). Long-Read Sequencing Reveals Alternative Splicing-Driven, Shared Immunogenic Neoepitopes Regardless of SF3B1 Status in Uveal Melanoma. Cancer Immunology Research. 11(12). 1671–1687. 6 indexed citations

Diedrich, Jonathan D., Yang Zhang, Kelly R. Barnett, et al.. (2022). Epigenomic profiling of glucocorticoid responses identifies cis-regulatory disruptions impacting steroid resistance in childhood acute lymphoblastic leukemia. Leukemia. 36(10). 2374–2383. 3 indexed citations

Li, Chunliang, Kihyuk Sohn, Jinsung Yoon, & Tomas Pfister. (2021). CutPaste: Self-Supervised Learning for Anomaly Detection and Localization. 9659–9669. 502 indexed citations breakdown →

Arık, Sercan Ö., Chunliang Li, Jinsung Yoon, et al.. (2020). Interpretable sequence learning for COVID-19 forecasting. Neural Information Processing Systems. 33. 18807–18818. 9 indexed citations

10.

Zhang, Hao, Yang Zhang, Xinyue Zhou, et al.. (2020). Functional interrogation of HOXA9 regulome in MLLr leukemia via reporter-based CRISPR/Cas9 screen. eLife. 9. 27 indexed citations

11.

Xu, Heng, Xujie Zhao, Deepa Bhojwani, et al.. (2019). ARID5B Influences Antimetabolite Drug Sensitivity and Prognosis of Acute Lymphoblastic Leukemia. Clinical Cancer Research. 26(1). 256–264. 21 indexed citations

12.

Tian, Liqing, Ying Shao, Stephanie Nance, et al.. (2019). Long-read sequencing unveils IGH-DUX4 translocation into the silenced IGH allele in B-cell acute lymphoblastic leukemia. Nature Communications. 10(1). 2789–2789. 17 indexed citations

13.

Li, Chunliang, et al.. (2018). Point Cloud GAN. arXiv (Cornell University). 7 indexed citations

14.

Singh, Shashank, et al.. (2018). Nonparametric Density Estimation under Adversarial Losses. Neural Information Processing Systems. 31. 10225–10236. 3 indexed citations

15.

Vo, BaoHan T., Chunliang Li, David Finkelstein, et al.. (2018). Mouse medulloblastoma driven by CRISPR activation of cellular Myc. Scientific Reports. 8(1). 8733–8733. 16 indexed citations

16.

Li, Chunliang, Kirthevasan Kandasamy, Barnabás Póczos, & Jeff Schneider. (2016). High Dimensional Bayesian Optimization via Restricted Projection Pursuit Models. International Conference on Artificial Intelligence and Statistics. 884–892. 28 indexed citations

17.

Li, Chunliang, Chun-Sung Ferng, & Hsuan-Tien Lin. (2012). Active Learning with Hinted Support Vector Machine. Asian Conference on Machine Learning. 221–235. 11 indexed citations

18.

Shu, Runzhe, Feng Zhang, Xuesong Liu, et al.. (2009). Target Deletion of the Cytoskeleton-Associated Protein Palladin Does Not Impair Neurite Outgrowth in Mice. PLoS ONE. 4(9). e6916–e6916. 5 indexed citations

19.

Li, Chunliang, Junmei Zhou, Guilai Shi, et al.. (2009). Pluripotency can be rapidly and efficiently induced in human amniotic fluid-derived cells. Human Molecular Genetics. 18(22). 4340–4349. 127 indexed citations

20.

Du, Changsheng, et al.. (2004). Induction of apoptosis in a carp leucocyte cell line infected with turbot (Scophthalmus maximus L.) rhabdovirus. Virus Research. 101(2). 119–126. 39 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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