Keyang Ding

568 total citations
19 papers, 434 citations indexed

About

Keyang Ding is a scholar working on Molecular Biology, Spectroscopy and Artificial Intelligence. According to data from OpenAlex, Keyang Ding has authored 19 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Spectroscopy and 5 papers in Artificial Intelligence. Recurrent topics in Keyang Ding's work include Protein Structure and Dynamics (7 papers), Electron Spin Resonance Studies (5 papers) and Advanced NMR Techniques and Applications (4 papers). Keyang Ding is often cited by papers focused on Protein Structure and Dynamics (7 papers), Electron Spin Resonance Studies (5 papers) and Advanced NMR Techniques and Applications (4 papers). Keyang Ding collaborates with scholars based in United States, China and Hong Kong. Keyang Ding's co-authors include Angela M. Gronenborn, Siu‐Cheong Yan, Hongzhe Sun, John M. Louis, Fēi Li, Xiaoping Chen, Neil Ayres, Ruifeng Xu, Li Zhang and Bin Liang and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Journal of Molecular Biology.

In The Last Decade

Keyang Ding

19 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Keyang Ding United States	10	229	149	93	75	65	19	434
Tommy Carstensen United Kingdom	12	373 1.6×	135 0.9×	119 1.3×	28 0.4×	52 0.8×	14	663
Abhinav Dubey India	13	338 1.5×	191 1.3×	100 1.1×	72 1.0×	12 0.2×	43	565
Shahila Mehboob United States	13	347 1.5×	186 1.2×	172 1.8×	56 0.7×	101 1.6×	25	651
Devin N. Sears United States	12	63 0.3×	242 1.6×	69 0.7×	26 0.3×	71 1.1×	20	468
Joyce A. Wilde United States	12	403 1.8×	138 0.9×	75 0.8×	53 0.7×	83 1.3×	19	616
Nick Soffe United Kingdom	12	394 1.7×	358 2.4×	157 1.7×	143 1.9×	67 1.0×	18	748
Robert Meinecke Germany	5	354 1.5×	115 0.8×	64 0.7×	35 0.5×	63 1.0×	5	471
Michael Bernd Germany	13	274 1.2×	91 0.6×	23 0.2×	26 0.3×	194 3.0×	20	476
Rafał Augustyniak Poland	9	460 2.0×	86 0.6×	114 1.2×	56 0.7×	51 0.8×	14	608
Phoebe Dea United States	16	409 1.8×	75 0.5×	31 0.3×	18 0.2×	250 3.8×	42	646

Countries citing papers authored by Keyang Ding

Since Specialization

Citations

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

Fields of papers citing papers by Keyang Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keyang Ding

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

19 of 19 papers shown

Li, Yang, Han Zhang, Qianlong Wang, et al.. (2025). BeyondGender: A Multifaceted Bilingual Dataset for Practical Sexism Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 39(23). 24750–24758. 1 indexed citations

Ding, Keyang, et al.. (2024). Cross-Domain Sentiment Analysis via Disentangled Representation and Prototypical Learning. IEEE Transactions on Affective Computing. 16(1). 264–276. 4 indexed citations

Chen, Shiwei, et al.. (2023). RDVI: A Retrieval–Detection Framework for Verbal Irony Detection. Electronics. 12(12). 2673–2673. 2 indexed citations

Wang, Qianlong, Keyang Ding, Bin Liang, Min Yang, & Ruifeng Xu. (2023). Reducing Spurious Correlations in Aspect-based Sentiment Analysis with Explanation from Large Language Models. 2930–2941. 3 indexed citations

Wang, Qianlong, et al.. (2022). Improving sequence labeling with labeled clue sentences. Knowledge-Based Systems. 257. 109828–109828. 2 indexed citations

Chen, Xiaoping, Keyang Ding, & Neil Ayres. (2011). Investigation into fiber formation in N-alkyl urea peptoid oligomers and the synthesis of a water-soluble PEG/N-alkyl urea peptoid oligomer conjugate. Polymer Chemistry. 2(11). 2635–2635. 25 indexed citations

Ding, Keyang, Sujay Subbayya Ithychanda, & Jun Qin. (2006). Three-dimensional correlated accordion NMR spectroscopy of proteins. Journal of Magnetic Resonance. 180(2). 203–209. 1 indexed citations

Ding, Keyang & Angela M. Gronenborn. (2004). Sensitivity-enhanced IPAP experiments for measuring one-bond 13C′–13Cα and 13Cα–1Hα residual dipolar couplings in proteins. Journal of Magnetic Resonance. 167(2). 253–258. 10 indexed citations

Ding, Keyang & Angela M. Gronenborn. (2004). Protein Backbone ¹H^N−¹³C^α and ¹⁵N−¹³C^α Residual Dipolar and J Couplings: New Constraints for NMR Structure Determination. Journal of the American Chemical Society. 126(20). 6232–6233. 39 indexed citations

10.

Ding, Keyang & Angela M. Gronenborn. (2003). Sensitivity-enhanced 2D IPAP, TROSY–anti-TROSY, and E.COSY experiments: alternatives for measuring dipolar couplings. Journal of Magnetic Resonance. 163(2). 208–214. 32 indexed citations

11.

Ding, Keyang, John M. Louis, & Angela M. Gronenborn. (2003). Insights into Conformation and Dynamics of Protein GB1 During Folding and Unfolding by NMR. Journal of Molecular Biology. 335(5). 1299–1307. 70 indexed citations

12.

Yan, Siu‐Cheong, Fēi Li, Keyang Ding, & Hongzhe Sun. (2003). Reduction of pentavalent antimony by trypanothione and formation of a binary and ternary complex of antimony(III) and trypanothione. JBIC Journal of Biological Inorganic Chemistry. 8(6). 689–697. 79 indexed citations

13.

Ding, Keyang & Angela M. Gronenborn. (2003). Simultaneous and Accurate Determination of One-Bond ¹⁵N−¹³C‘ and Two-Bond ¹H^N−¹³C‘ Dipolar Couplings. Journal of the American Chemical Society. 125(38). 11504–11505. 7 indexed citations

14.

Ding, Keyang & Angela M. Gronenborn. (2002). Novel 2D Triple-Resonance NMR Experiments for Sequential Resonance Assignments of Proteins. Journal of Magnetic Resonance. 156(2). 262–268. 87 indexed citations

15.

Ding, Keyang & Angela M. Gronenborn. (2002). Sensitivity-enhanced E.COSY-type HSQC experiments for accurate measurements of one-bond 15N– and 15N– and two-bond – residual dipolar couplings in proteins. Journal of Magnetic Resonance. 158(1-2). 173–177. 14 indexed citations

16.

Yan, Siu‐Cheong, et al.. (2000). Complexation of Antimony(III) by Trypanothione. Angewandte Chemie International Edition. 39(23). 4260–4262. 30 indexed citations

17.

Yan, Siu‐Cheong, Keyang Ding, Li Zhang, & Hongzhe Sun. (2000). Complexation of Antimony(III) by Trypanothione. Angewandte Chemie. 112(23). 4430–4432. 3 indexed citations

18.

Ding, Keyang. (2000). Direct measurement of heteronuclear long-range coupling constants from phase-sensitive HMBC spectra. Magnetic Resonance in Chemistry. 38(5). 321–323. 18 indexed citations

19.

Ding, Keyang. (1999). Accurate Measurements of Multiple-Bond 13C–1H Coupling Constants from Phase-Sensitive 2D INEPT Spectra. Journal of Magnetic Resonance. 140(2). 495–498. 7 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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