Ying‐Chih Chiang

2.5k total citations
56 papers, 938 citations indexed

About

Ying‐Chih Chiang is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Spectroscopy. According to data from OpenAlex, Ying‐Chih Chiang has authored 56 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 18 papers in Atomic and Molecular Physics, and Optics and 14 papers in Spectroscopy. Recurrent topics in Ying‐Chih Chiang's work include Advanced Chemical Physics Studies (13 papers), Machine Learning in Bioinformatics (11 papers) and Antimicrobial Peptides and Activities (11 papers). Ying‐Chih Chiang is often cited by papers focused on Advanced Chemical Physics Studies (13 papers), Machine Learning in Bioinformatics (11 papers) and Antimicrobial Peptides and Activities (11 papers). Ying‐Chih Chiang collaborates with scholars based in China, Taiwan and Germany. Ying‐Chih Chiang's co-authors include Lorenz S. Cederbaum, Philipp V. Demekhin, Jing‐Ke Weng, Lantian Yao, Chia‐Ru Chung, Alexander I. Kuleff, Kirill Gokhberg, Yi Wang, Yi Wang and Jiahui Guan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nucleic Acids Research.

In The Last Decade

Ying‐Chih Chiang

50 papers receiving 930 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying‐Chih Chiang China 19 411 373 111 69 67 56 938
Joshua Williams United States 14 787 1.9× 433 1.2× 234 2.1× 81 1.2× 19 0.3× 35 1.9k
Liangzhen Zheng China 17 420 1.0× 206 0.6× 18 0.2× 37 0.5× 77 1.1× 48 856
Hiroaki Tokiwa Japan 23 547 1.3× 433 1.2× 291 2.6× 23 0.3× 9 0.1× 95 1.7k
Alexey K. Mazur France 23 1.0k 2.5× 236 0.6× 149 1.3× 83 1.2× 18 0.3× 63 1.4k
Jožica Dolenc Switzerland 18 760 1.8× 214 0.6× 156 1.4× 17 0.2× 12 0.2× 50 1.2k
O. Schedletzky Germany 10 475 1.2× 208 0.6× 418 3.8× 54 0.8× 17 0.3× 11 1.1k
A. Shcherbakov United States 15 336 0.8× 46 0.1× 324 2.9× 67 1.0× 20 0.3× 46 854
Roger M. Brunne Germany 13 887 2.2× 248 0.7× 224 2.0× 39 0.6× 11 0.2× 20 1.5k
Tim N. Heinz Switzerland 6 648 1.6× 262 0.7× 119 1.1× 20 0.3× 16 0.2× 8 961
Akbar Nayeem United States 15 496 1.2× 148 0.4× 255 2.3× 16 0.2× 8 0.1× 24 1.0k

Countries citing papers authored by Ying‐Chih Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Ying‐Chih Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying‐Chih Chiang. 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 Ying‐Chih Chiang. The network helps show where Ying‐Chih Chiang may publish in the future.

Co-authorship network of co-authors of Ying‐Chih Chiang

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

All Works

20 of 20 papers shown
1.
Lin, Xiukun, Feng Wang, Yiyang Zhao, et al.. (2025). AFPDeepPred: A Deep Learning Framework for Accurate Identification of Antifreeze Proteins. Journal of Chemical Information and Modeling. 65(22). 12256–12267.
2.
Yao, Lantian, et al.. (2025). ToxiPep: Peptide toxicity prediction via fusion of context-aware representation and atomic-level graph. Computational and Structural Biotechnology Journal. 27. 2347–2358. 3 indexed citations
3.
Yao, Lantian, et al.. (2025). StackDILI: Enhancing Drug-Induced Liver Injury Prediction through Stacking Strategy with Effective Molecular Representations. Journal of Chemical Information and Modeling. 65(2). 1027–1039. 2 indexed citations
4.
Yao, Lantian, et al.. (2025). Caps-ac4C: An effective computational framework for identifying N4-acetylcytidine sites in human mRNA based on deep learning. Journal of Molecular Biology. 437(6). 168961–168961. 1 indexed citations
5.
He, Xi, Feng Wang, Zhihao Zhao, et al.. (2025). PhaseNet: A computational framework for identifying phase-separating proteins based on protein language model. International Journal of Biological Macromolecules. 334(Pt 1). 149044–149044.
6.
Zhao, Zhihao, et al.. (2024). DeepKlapred: A deep learning framework for identifying protein lysine lactylation sites via multi-view feature fusion. International Journal of Biological Macromolecules. 283(Pt 3). 137668–137668. 3 indexed citations
7.
Yao, Lantian, Chia‐Ru Chung, Wenyang Zhang, et al.. (2024). dbAMP 3.0: updated resource of antimicrobial activity and structural annotation of peptides in the post-pandemic era. Nucleic Acids Research. 53(D1). D364–D376. 19 indexed citations
8.
Pang, Bin, et al.. (2024). Structural insights into the activation and inhibition of CXC chemokine receptor 3. Nature Structural & Molecular Biology. 31(4). 610–620. 19 indexed citations
9.
Yao, Lantian, Jiahui Guan, Chia‐Ru Chung, et al.. (2024). ACP-CapsPred: an explainable computational framework for identification and functional prediction of anticancer peptides based on capsule network. Briefings in Bioinformatics. 25(5). 10 indexed citations
10.
Nantasenamat, Chanin, et al.. (2023). Exploring the Chemical Space of CYP17A1 Inhibitors Using Cheminformatics and Machine Learning. Molecules. 28(4). 1679–1679. 10 indexed citations
11.
Yao, Lantian, Yuxuan Pang, Chia‐Ru Chung, et al.. (2023). ABPCaps: A Novel Capsule Network-Based Method for the Prediction of Antibacterial Peptides. Applied Sciences. 13(12). 6965–6965. 8 indexed citations
12.
Yao, Lantian, Wenshuo Li, Chia‐Ru Chung, et al.. (2023). DeepAFP: An effective computational framework for identifying antifungal peptides based on deep learning. Protein Science. 32(10). e4758–e4758. 24 indexed citations
13.
Otto, Frank, et al.. (2022). On the force field optimisation of $$\beta$$-lactam cores using the force field Toolkit. Journal of Computer-Aided Molecular Design. 36(7). 537–547.
14.
Han, Yufei, Qian Zhuang, Bo Sun, et al.. (2021). Crystal structure of steroid reductase SRD5A reveals conserved steroid reduction mechanism. Nature Communications. 12(1). 449–449. 38 indexed citations
15.
Torrens-Spence, Michael P., et al.. (2020). Structural basis for divergent and convergent evolution of catalytic machineries in plant aromatic amino acid decarboxylase proteins. Proceedings of the National Academy of Sciences. 117(20). 10806–10817. 50 indexed citations
16.
Chiang, Ying‐Chih, et al.. (2018). Active Site Dynamics and Substrate Permissiveness of Hydroxylcinnamoyltransferase (HCT). Biophysical Journal. 114(3). 583a–584a. 1 indexed citations
17.
Levsh, Olesya, et al.. (2016). Dynamic Conformational States Dictate Selectivity toward the Native Substrate in a Substrate-Permissive Acyltransferase. Biochemistry. 55(45). 6314–6326. 59 indexed citations
18.
Miteva, Tsveta, Ying‐Chih Chiang, Přemysl Kolorenč, et al.. (2014). The effect of the partner atom on the spectra of interatomic Coulombic decay triggered by resonant Auger processes. The Journal of Chemical Physics. 141(16). 164303–164303. 11 indexed citations
19.
Cederbaum, Lorenz S., Ying‐Chih Chiang, Philipp V. Demekhin, & Nimrod Moiseyev. (2011). Resonant Auger Decay of Molecules in Intense X-Ray Laser Fields: Light-Induced Strong Nonadiabatic Effects. Physical Review Letters. 106(12). 123001–123001. 62 indexed citations
20.
Demekhin, Philipp V., Ying‐Chih Chiang, Spas D. Stoychev, et al.. (2009). Interatomic Coulombic decay and its dynamics in NeAr following K-LL Auger transition in the Ne atom. The Journal of Chemical Physics. 131(10). 19 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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