Haibo Ding

78 total papers · 2.0k total citations
51 papers, 1.6k citations indexed

About

Haibo Ding is a scholar working on Biomedical Engineering, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, Haibo Ding has authored 51 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Biomedical Engineering, 18 papers in Atomic and Molecular Physics, and Optics and 13 papers in Artificial Intelligence. Recurrent topics in Haibo Ding's work include Photonic Crystals and Applications (16 papers), Topic Modeling (12 papers) and Nonlinear Optical Materials Studies (10 papers). Haibo Ding is often cited by papers focused on Photonic Crystals and Applications (16 papers), Topic Modeling (12 papers) and Nonlinear Optical Materials Studies (10 papers). Haibo Ding collaborates with scholars based in China, United States and Bangladesh. Haibo Ding's co-authors include Zhongze Gu, Yuanjin Zhao, Hongcheng Gu, Zhongze Gu, Yao Cheng, Cihui Liu, Luoran Shang, Baofen Ye, Zhuoying Xie and Jun Araki and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Haibo Ding

49 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Haibo Ding 714 430 365 318 214 51 1.6k
Minsu Kang 729 1.0× 549 1.3× 259 0.7× 368 1.2× 122 0.6× 69 1.8k
Hongtao Wang 730 1.0× 441 1.0× 387 1.1× 336 1.1× 137 0.6× 60 1.6k
W. Spirkl 699 1.0× 364 0.8× 908 2.5× 425 1.3× 76 0.4× 52 2.0k
Yang Sun 867 1.2× 232 0.5× 338 0.9× 475 1.5× 102 0.5× 28 2.2k
Yulan Fu 621 0.9× 747 1.7× 860 2.4× 292 0.9× 90 0.4× 66 1.6k
Jeung Hun Park 524 0.7× 218 0.5× 627 1.7× 499 1.6× 366 1.7× 83 1.7k
Paolo Bettotti 550 0.8× 467 1.1× 779 2.1× 679 2.1× 89 0.4× 95 1.7k
Chunxiang Xu 569 0.8× 776 1.8× 863 2.4× 441 1.4× 222 1.0× 81 2.2k
Bin Ai 995 1.4× 316 0.7× 573 1.6× 293 0.9× 162 0.8× 88 1.9k
Yasi Wang 542 0.8× 450 1.0× 354 1.0× 179 0.6× 132 0.6× 46 1.4k

Countries citing papers authored by Haibo Ding

Since Specialization
Citations

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

Fields of papers citing papers by Haibo Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haibo Ding

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