Haidong Yi

686 total citations
14 papers, 416 citations indexed

About

Haidong Yi is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Haidong Yi has authored 14 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Haidong Yi's work include Single-cell and spatial transcriptomics (5 papers), Gene expression and cancer classification (3 papers) and CRISPR and Genetic Engineering (2 papers). Haidong Yi is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Gene expression and cancer classification (3 papers) and CRISPR and Genetic Engineering (2 papers). Haidong Yi collaborates with scholars based in United States, China and Australia. Haidong Yi's co-authors include Yanbin Yin, Han Zhang, Le Huang, Sarah Entwistle, Peizhi Wu, Xueqiong Li, Zhenglu Yang, Bo Zheng, Xuehuan Feng and Li Tang and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Genome biology.

In The Last Decade

Haidong Yi

13 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haidong Yi United States 6 275 116 90 60 52 14 416
Yuchen Yan United States 3 292 1.1× 170 1.5× 114 1.3× 90 1.5× 42 0.8× 4 487
Gaurav Sharma India 12 245 0.9× 116 1.0× 51 0.6× 36 0.6× 33 0.6× 47 429
Daniel Cuevas United States 8 249 0.9× 151 1.3× 46 0.5× 17 0.3× 26 0.5× 12 359
Mi Kyung Eom South Korea 11 232 0.8× 144 1.2× 53 0.6× 21 0.3× 15 0.3× 32 326
Zhou Bai-Cheng China 3 590 2.1× 396 3.4× 103 1.1× 71 1.2× 44 0.8× 5 675
Hanan R. Shehata Canada 14 347 1.3× 93 0.8× 131 1.5× 17 0.3× 69 1.3× 32 541
Weibing Shi United States 11 225 0.8× 40 0.3× 70 0.8× 33 0.6× 56 1.1× 18 569
Stephan Ritter United States 3 305 1.1× 280 2.4× 86 1.0× 24 0.4× 23 0.4× 4 491
Fei-Na Li China 12 302 1.1× 129 1.1× 90 1.0× 48 0.8× 24 0.5× 59 449
Vethachai Plengvidhya Thailand 7 219 0.8× 161 1.4× 86 1.0× 39 0.7× 33 0.6× 9 493

Countries citing papers authored by Haidong Yi

Since Specialization
Citations

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

Fields of papers citing papers by Haidong Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haidong Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Haidong Yi. A scholar is included among the top collaborators of Haidong Yi 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 Haidong Yi. Haidong Yi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
2.
3.
Yi, Haidong & Natalie Stanley. (2022). CytoEMD. 1–14. 1 indexed citations
4.
Yi, Haidong, Le Huang, Gal Mishne, & C. Eric. (2021). COBRAC: a fast implementation of convex biclustering with compression. Bioinformatics. 37(20). 3667–3669. 5 indexed citations
5.
Yi, Haidong, et al.. (2021). Scalable Algorithms for Convex Clustering. 21. 1–6. 2 indexed citations
6.
Yi, Haidong & Natalie Stanley. (2021). CytoSet. 1–8. 4 indexed citations
7.
Zheng, Jinfang, Haidong Yi, Li Tang, et al.. (2020). dbCAN-PUL: a database of experimentally characterized CAZyme gene clusters and their substrates. Nucleic Acids Research. 49(D1). D523–D528. 72 indexed citations
8.
Yi, Haidong, et al.. (2020). AcrFinder: genome mining anti-CRISPR operons in prokaryotes and their viruses. Nucleic Acids Research. 48(W1). W358–W365. 48 indexed citations
9.
Huang, Le, Haidong Yi, Amina Asif, et al.. (2020). AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses. Nucleic Acids Research. 49(D1). D622–D629. 38 indexed citations
10.
Yi, Haidong, et al.. (2020). Exchangeable Neural ODE for Set Modeling. Neural Information Processing Systems. 33. 6936–6946. 2 indexed citations
11.
Yi, Haidong, et al.. (2020). GDASC: a GPU parallel-based web server for detecting hidden batch factors. Bioinformatics. 36(14). 4211–4213. 1 indexed citations
12.
Huang, Le, Han Zhang, Peizhi Wu, et al.. (2017). dbCAN-seq: a database of carbohydrate-active enzyme (CAZyme) sequence and annotation. Nucleic Acids Research. 46(D1). D516–D521. 218 indexed citations
13.
Yi, Haidong, Ayush T. Raman, Han Zhang, Genevera I. Allen, & Zhandong Liu. (2017). Detecting hidden batch factors through data-adaptive adjustment for biological effects. Bioinformatics. 34(7). 1141–1147. 17 indexed citations
14.
Liu, Wei, et al.. (2015). Sequential quadratic programming-based fast path planning algorithm subject to no-fly zone constraints. Engineering Optimization. 48(8). 1401–1418. 3 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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2026