Yijie Ding

5.7k total citations · 1 hit paper
181 papers, 4.3k citations indexed

About

Yijie Ding is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Yijie Ding has authored 181 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Molecular Biology, 38 papers in Computational Theory and Mathematics and 17 papers in Cancer Research. Recurrent topics in Yijie Ding's work include Machine Learning in Bioinformatics (90 papers), RNA and protein synthesis mechanisms (53 papers) and Computational Drug Discovery Methods (36 papers). Yijie Ding is often cited by papers focused on Machine Learning in Bioinformatics (90 papers), RNA and protein synthesis mechanisms (53 papers) and Computational Drug Discovery Methods (36 papers). Yijie Ding collaborates with scholars based in China, United States and Sweden. Yijie Ding's co-authors include Jijun Tang, Fei Guo, Fei Guo, Quan Zou, Shuai Shao, Xuan Xiao, Z. Huang, Prayag Tiwari, Limin Jiang and Kuo‐Chen Chou and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Analytical Chemistry.

In The Last Decade

Yijie Ding

164 papers receiving 4.2k 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.

SBSM-Pro: support bio-sequence machine for proteins

2024 179 citations Yijie Ding, Quan Zou et al. profile →

Peers

Countries citing papers authored by Yijie Ding

Since Specialization

Citations

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

Fields of papers citing papers by Yijie Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yijie Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Yijie Ding. A scholar is included among the top collaborators of Yijie 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 Yijie Ding. Yijie 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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20 of 20 papers shown

#	Work	Indexed citations
1	Upregulation of Protein O-GlcNAcylation Levels Promotes Zebrafish Fin Regeneration 2025 ·Molecular & Cellular Proteomics ·(unknown), (unknown), (unknown), Yijie Ding, (unknown), Yu Yuan, Hao Xue, Junxiang Wang, Xinyu Zhang, Yuan Tian, Fulin Chen, Jihong Cui	0
2	Synthesis and multiple responsiveness study of Poly(N-isopropylacrylamide) containing azopyridine 2025 ·Polymer ·Xiaoqiang Xue, (unknown), (unknown), (unknown), Yijie Ding, Yuheng Zhang, (unknown), Wenyan Huang, Qimin Jiang, Hongting Pu	0
3	Prediction of ncRNA-Disease Association Based on Correntropy Induced Loss Matrix Factorization Model 2025 ·PubMed ·Pu Li, Yuqing Qian, Junhai Xu, Yijie Ding, Fei Guo	1
4	Network Vector Autoregression with Time-Varying Nodal Influence 2025 ·Computational Economics ·Yijie Ding, Xuening Zhu, Rui Pan, Bo Zhang	0
5	Multiple kernel-based fuzzy system for identifying enhancers 2024 ·Expert Systems with Applications ·Zhichao Xiao, Yijie Ding, Yu Liang	0
6	Deep learning based method for predicting DNA N6-methyladenosine sites 2024 ·Methods ·Ke Han, Jianchun Wang, Ying Chu, Qian Liao, Yijie Ding, Dequan Zheng, Jie Wan, Xiaoyi Guo, Q. Zou	2
7	Unveiling the enhanced catalytic performance of low-Si/Al-ratio beta-zeolite on C4 alkylation combing with experiments and molecular simulations 2024 ·Chemical Engineering Science ·(unknown), Ming Wen, Yijie Ding, Weizhong Zheng, Weizhen Sun, Ling Zhao	0
8	EDDINet: Enhancing drug–drug interaction prediction via information flow and consensus constrained multi-graph contrastive learning 2024 ·Artificial Intelligence in Medicine ·Hong Wang, (unknown), Yijie Ding, Prayag Tiwari, Liang Cheng	1
9	MvG-NRLMF: Multi-view graph neighborhood regularized logistic matrix factorization for identifying drug–target interaction 2024 ·Future Generation Computer Systems ·Yu Zhang, Qian Liao, Prayag Tiwari, Ying Chu, Yu Wang, Yi Ding, (unknown), Jie Wan, Yijie Ding, Ke Han	3
10	PseU-KeMRF: A novel method for identifying RNA pseudouridine sites 2024 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·(unknown), Quan Zou, Ren Qi, Yijie Ding	1
11	Design and Analysis of an Electric Integrated Work Vehicle for Corn Intertillage Fertilization and Pesticide Spraying 2024 ·Applied Sciences ·(unknown), Jingliang Zhang, Yijie Ding, Yongzhen Wang, (unknown), (unknown), Bin Li, Junqiang Zhao	1
12	Therapeutic peptides identification via kernel risk sensitive loss-based k-nearest neighbor model and multi-Laplacian regularization 2024 ·Briefings in Bioinformatics ·Wenyu Zhang, Yijie Ding, Leyi Wei, (unknown), (unknown)	1
13	Fuzzy kernel evidence Random Forest for identifying pseudouridine sites 2024 ·Briefings in Bioinformatics ·(unknown), (unknown), Xi Su, Prayag Tiwari, Yijie Ding	1
14	Identification of drug-side effect association via correntropy-loss based matrix factorization with neural tangent kernel 2023 ·Methods ·Yijie Ding, Hongmei Zhou, Quan Zou, Lei Yuan	7
15	Low Rank Matrix Factorization Algorithm Based on Multi-Graph Regularization for Detecting Drug-Disease Association 2023 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·(unknown), (unknown), Yijie Ding, Jijun Tang, Fei Guo	36
16	Hydrogen Bond Effects: A Strategy for Improving Controllability in Organocatalytic Photoinduced Controlled Radical Polymerization Targeting High Molecular Weight 2022 ·ACS Catalysis ·Yaning Li, (unknown), Yang Ma, Yijie Ding, Zhihao Chen, (unknown), Long Qin, Xiu‐Li Sun, Xiaohua Liu, Xiaoming Feng, Zhi‐Pan Liu, Xiaoyan Wang, Yong Tang	8
17	Inferring human microbe–drug associations via multiple kernel fusion on graph neural network 2021 ·Knowledge-Based Systems ·(unknown), Yijie Ding, Jijun Tang, Fei Guo	38
18	Assessing the Adequacy of Hemodialysis Patients via the Graph-Based Takagi-Sugeno-Kang Fuzzy System 2021 ·Computational and Mathematical Methods in Medicine ·(unknown), (unknown), Xiaoyi Guo, (unknown), Yijie Ding, Wei Zhou, Qun Lü, Hua Shi	7
19	Identification of Drug-Side Effect Association via Semisupervised Model and Multiple Kernel Learning 2018 ·IEEE Journal of Biomedical and Health Informatics ·Yijie Ding, Jijun Tang, Fei Guo	84
20	Prediction of human protein subcellular localization using deep learning 2017 ·Journal of Parallel and Distributed Computing ·Leyi Wei, Yijie Ding, Ran Su, Jijun Tang, Quan Zou	187

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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