Bingding Huang

55 papers receiving 2.1k citations

Bingding Huang's Hit Papers

A systematic review for transformer-based long-term series forecasting 2025 · 51 citations
510+6+13Years since publication100200300

Peers

Bingding Huang
Comparison fields: 5 of 144
  • Computational Theory and Mathematics 499
  • Geriatrics and Gerontology 69
  • Molecular Biology 1.0k
  • Radiology, Nuclear Medicine and Imaging 240
  • Computer Vision and Pattern Recognition 202
Replace Rengül Çetin-Atalay with:
Rengül Çetin-Atalay Türkiye
Haiping Zhang China
Weilin Zhang China
Jessica Vamathevan United Kingdom
Xin Lai China
Yingtao Zhang China
Kunlun He China
Kai‐Cheng Hsu Taiwan
Hugo Ceulemans Belgium
Zhijun Wang China
Bingding Huang relative to Rengül Çetin-Atalay Türkiye Rengül Çetin-Atalay's profile →
Citations per field
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Rengül Çetin-Atalay · 1×
Citations per year

Countries citing papers authored by Bingding Huang

Since Specialization
Citations

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

Fields of papers citing papers by Bingding Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bingding Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bingding Huang Line = papers co-authored together Bingding Huang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1
LIGSITEcsc: predicting ligand binding sites using the Connolly surface and degree of conservation.
Hit paper breakdown →
2006373
2 2009304
3 2011258
4 2009166
5 2021150
6 2016106
7 202291
8 201378
9 201174
10
A systematic review for transformer-based long-term series forecasting
Hit paper breakdown →
202551
11 200849
12 202247
13 202146
14 202239
15 201936
16 201936
17 202221
18 202118
19 201314
20 202413

About Bingding Huang

Bingding Huang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 62 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Computational Drug Discovery Methods (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), AI in cancer detection (4 papers), Cancer Genomics and Diagnostics (4 papers), Advanced X-ray and CT Imaging (4 papers), Robotic Path Planning Algorithms (4 papers) and Protein Structure and Dynamics (4 papers). The work is most often cited by research in Computational Theory and Mathematics (499 citations), Geriatrics and Gerontology (69 citations), Molecular Biology (1.0k citations), Radiology, Nuclear Medicine and Imaging (240 citations) and Computer Vision and Pattern Recognition (202 citations). Bingding Huang has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Michael Schroeder, Biaoyang Lin, Zengming Zhang, Pasi Fränti, Yu Li, Haseeb Hassan, Rebecca C. Wade, Friedrich Rippmann, Gabriele Cruciani and Stefan Henrich. Their work appears in journals such as Bioinformatics, OMICS A Journal of Integrative Biology, Computer Methods and Programs in Biomedicine, Journal of Intelligent Manufacturing and OncoTargets and Therapy.

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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