Yafeng Deng

2.6k total citations · 2 hit papers
56 papers, 1.2k citations indexed

About

Yafeng Deng is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Yafeng Deng has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 37 papers in Computational Theory and Mathematics and 18 papers in Materials Chemistry. Recurrent topics in Yafeng Deng's work include Computational Drug Discovery Methods (37 papers), Machine Learning in Materials Science (17 papers) and Protein Structure and Dynamics (14 papers). Yafeng Deng is often cited by papers focused on Computational Drug Discovery Methods (37 papers), Machine Learning in Materials Science (17 papers) and Protein Structure and Dynamics (14 papers). Yafeng Deng collaborates with scholars based in China, Macao and Poland. Yafeng Deng's co-authors include Tingjun Hou, Chang‐Yu Hsieh, Yu Kang, Peichen Pan, Hongyan Du, Dongsheng Cao, Xujun Zhang, Chao Shen, Jike Wang and Dejun Jiang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Analytical Chemistry.

In The Last Decade

Yafeng Deng

53 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

PROTAC-DB 3.0: an updated database of PROTACs with extended pharmacokinetic parameters

2024 44 citations Jingxuan Ge, Gaoqi Weng et al. profile →
Discovery of antimicrobial peptides with notable antibacterial potency by an LLM-based foundation model

2025 33 citations Jike Wang, Yu Kang et al. Science Advances profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yafeng Deng China	21	624	528	258	151	75	56	1.2k
Chuang Liu China	17	578 0.9×	515 1.0×	255 1.0×	58 0.4×	13 0.2×	35	1.2k
Yaqin Liu China	17	556 0.9×	223 0.4×	98 0.4×	90 0.6×	28 0.4×	44	1.0k
Nils Weskamp Germany	14	603 1.0×	587 1.1×	216 0.8×	34 0.2×	22 0.3×	21	905
Shuangjia Zheng China	22	1.2k 1.8×	971 1.8×	541 2.1×	137 0.9×	67 0.9×	46	2.3k
Joerg Wichard Germany	17	390 0.6×	481 0.9×	186 0.7×	14 0.1×	32 0.4×	38	1.1k
A. Peter Johnson United Kingdom	20	715 1.1×	775 1.5×	339 1.3×	115 0.8×	45 0.6×	43	1.5k
Kexin Huang United States	18	1.1k 1.8×	960 1.8×	380 1.5×	50 0.3×	44 0.6×	43	1.8k
Dan Han China	8	231 0.4×	283 0.5×	155 0.6×	117 0.8×	11 0.1×	20	744
Marcus Olivecrona Sweden	3	1.1k 1.8×	1.5k 2.8×	980 3.8×	60 0.4×	28 0.4×	3	2.1k

Countries citing papers authored by Yafeng Deng

Since Specialization

Citations

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

Fields of papers citing papers by Yafeng Deng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yafeng Deng

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

20 of 20 papers shown

Deng, Yafeng, Xinda Zhao, Xiaorui Wang, et al.. (2025). RSGPT: a generative transformer model for retrosynthesis planning pre-trained on ten billion datapoints. Nature Communications. 16(1). 7012–7012.

Wang, Jike, Yu Kang, Peichen Pan, et al.. (2025). Discovery of antimicrobial peptides with notable antibacterial potency by an LLM-based foundation model. Science Advances. 11(10). eads8932–eads8932. 33 indexed citations breakdown →

Shen, Chao, Xujun Zhang, Huiyong Sun, et al.. (2025). Benchmarking AI-powered docking methods from the perspective of virtual screening. Nature Machine Intelligence. 7(3). 509–520. 9 indexed citations

Xue, Xi, Kai Chen, Xiangying Liu, et al.. (2025). Bidirectional Chemical Intelligent Net: A unified deep learning–based framework for predicting chemical reaction. Chinese Chemical Letters. 36(11). 110968–110968. 2 indexed citations

Wang, Xiaorui, Yu Kang, Yafeng Deng, et al.. (2025). Syn-MolOpt: a synthesis planning-driven molecular optimization method using data-derived functional reaction templates. Journal of Cheminformatics. 17(1). 27–27. 1 indexed citations

Chen, Yu, Xinda Zhao, Chao Shen, et al.. (2024). Unlocking comprehensive molecular design across all scenarios with large language model and unordered chemical language. Chemical Science. 15(34). 13727–13740. 5 indexed citations

Li, Shuai, Jike Wang, Odin Zhang, et al.. (2024). ClickGen: Directed exploration of synthesizable chemical space via modular reactions and reinforcement learning. Nature Communications. 15(1). 10127–10127. 10 indexed citations

Ding, Ding, et al.. (2024). Molecular mechanism of pancreatic ductal adenocarcinoma: The heterogeneity of cancer-associated fibroblasts and key signaling pathways. World Journal of Clinical Oncology. 16(2). 97007–97007. 1 indexed citations

Wang, Xiaorui, Xiaodan Yin, Dejun Jiang, et al.. (2024). Multi-modal deep learning enables efficient and accurate annotation of enzymatic active sites. Nature Communications. 15(1). 7348–7348. 20 indexed citations

10.

Liu, Xue, et al.. (2023). CMGN: a conditional molecular generation net to design target-specific molecules with desired properties. Briefings in Bioinformatics. 24(4). 12 indexed citations

11.

Xie, Chunyu, et al.. (2023). CCMB: A Large-scale Chinese Cross-modal Benchmark. 4219–4227. 3 indexed citations

12.

Shen, Chao, Xujun Zhang, Tong Chen, et al.. (2023). CarsiDock: a deep learning paradigm for accurate protein–ligand docking and screening based on large-scale pre-training. Chemical Science. 15(4). 1449–1471. 29 indexed citations

13.

Du, Hongyan, Dejun Jiang, Odin Zhang, et al.. (2023). A flexible data-free framework for structure-based de novo drug design with reinforcement learning. Chemical Science. 14(43). 12166–12181. 10 indexed citations

14.

Zhang, Xujun, Odin Zhang, Chao Shen, et al.. (2023). Efficient and accurate large library ligand docking with KarmaDock. Nature Computational Science. 3(9). 789–804. 80 indexed citations

15.

Yang, Xixi, et al.. (2023). GPMO: Gradient Perturbation-Based Contrastive Learning for Molecule Optimization. 4940–4948. 3 indexed citations

16.

Shen, Chao, Xujun Zhang, Chang‐Yu Hsieh, et al.. (2023). A generalized protein–ligand scoring framework with balanced scoring, docking, ranking and screening powers. Chemical Science. 14(30). 8129–8146. 44 indexed citations

17.

Wu, Zhenhua, Jike Wang, Hongyan Du, et al.. (2023). Chemistry-intuitive explanation of graph neural networks for molecular property prediction with substructure masking. Nature Communications. 14(1). 89 indexed citations

18.

Wang, Lei, Shaohua Shi, Hui Li, et al.. (2023). Reducing false positive rate of docking-based virtual screening by active learning. Briefings in Bioinformatics. 24(1). 10 indexed citations

19.

Wang, Mingyang, Jike Wang, Gaoqi Weng, et al.. (2022). ReMODE: a deep learning-based web server for target-specific drug design. Journal of Cheminformatics. 14(1). 84–84. 4 indexed citations

20.

Xu, Yuting, et al.. (2021). Inconsistency-Aware Wavelet Dual-Branch Network for Face Forgery Detection. IEEE Transactions on Biometrics Behavior and Identity Science. 3(3). 308–319. 42 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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