Hui Ding

9.7k total citations · 3 hit papers
135 papers, 8.2k citations indexed

About

Hui Ding is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Hui Ding has authored 135 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Molecular Biology, 18 papers in Cancer Research and 7 papers in Computational Theory and Mathematics. Recurrent topics in Hui Ding's work include Machine Learning in Bioinformatics (83 papers), RNA and protein synthesis mechanisms (68 papers) and Genomics and Phylogenetic Studies (58 papers). Hui Ding is often cited by papers focused on Machine Learning in Bioinformatics (83 papers), RNA and protein synthesis mechanisms (68 papers) and Genomics and Phylogenetic Studies (58 papers). Hui Ding collaborates with scholars based in China, United States and Saudi Arabia. Hui Ding's co-authors include Hao Lin, Wei Chen, Pengmian Feng, Kuo‐Chen Chou, Hui Yang, En-Ze Deng, Hao Lv, Fanny Dao, Jian Huang and Quan Zou and has published in prestigious journals such as Nucleic Acids Research, Nano Letters and Bioinformatics.

In The Last Decade

Hui Ding

132 papers receiving 8.1k 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.

iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition

2014 463 citations Hao Lin, En-Ze Deng et al. Nucleic Acids Research profile →
iACP: a sequence-based tool for identifying anticancer peptides

2016 381 citations Wei Chen, Hui Ding et al. profile →
Accurately identifying hemagglutinin using sequence information and machine learning methods

2023 87 citations Liping Ren, Yang Zhang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hui Ding China	51	7.5k	873	759	407	233	135	8.2k
Bin Liu China	50	7.7k 1.0×	1.2k 1.3×	807 1.1×	417 1.0×	82 0.4×	165	8.9k
Balachandran Manavalan South Korea	46	5.0k 0.7×	394 0.5×	671 0.9×	967 2.4×	139 0.6×	130	6.3k
Fei Guo China	38	3.7k 0.5×	697 0.8×	820 1.1×	178 0.4×	111 0.5×	278	5.3k
Fuyi Li China	36	3.8k 0.5×	342 0.4×	713 0.9×	396 1.0×	114 0.5×	126	4.9k
Tzong-Yi Lee Taiwan	40	3.7k 0.5×	377 0.4×	213 0.3×	513 1.3×	95 0.4×	119	4.9k
Lu Xie China	40	4.0k 0.5×	1.0k 1.2×	196 0.3×	103 0.3×	143 0.6×	223	6.3k
Tae Hwan Shin South Korea	29	2.5k 0.3×	191 0.2×	280 0.4×	480 1.2×	120 0.5×	58	3.3k
Junfeng Xia China	30	2.2k 0.3×	545 0.6×	418 0.6×	143 0.4×	116 0.5×	139	3.2k
Yijie Ding China	37	3.4k 0.5×	434 0.5×	1.2k 1.5×	121 0.3×	39 0.2×	181	4.3k

Countries citing papers authored by Hui Ding

Since Specialization

Citations

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

Fields of papers citing papers by Hui Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Ding

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

20 of 20 papers shown

Xiao, Juan, Changyi Deng, Tingting Huang, et al.. (2025). Highly active transition metal phosphides for urea oxidation: Design strategies, application advances, and perspectives. Chinese Journal of Structural Chemistry. 44(9). 100651–100651.

Ding, Hui, et al.. (2025). Exploring novel molecular mechanisms underlying recurrent pregnancy loss in decidual tissues. Scientific Reports. 15(1). 25460–25460. 1 indexed citations

Xu, Yi, Tianyuan Liu, Yu Yang, et al.. (2024). ACVPred: Enhanced prediction of anti-coronavirus peptides by transfer learning combined with data augmentation. Future Generation Computer Systems. 160. 305–315. 13 indexed citations

Ding, Hui, et al.. (2024). Deep Learning-Based System Combining Chest X-Ray and Computerized Tomography Images for COVID-19 Diagnosis. British Journal of Hospital Medicine. 85(8). 1–15. 1 indexed citations

Lin, Yan, et al.. (2023). A computational model to identify fertility-related proteins using sequence information. Frontiers of Computer Science. 18(1). 4 indexed citations

Si, Dong, et al.. (2021). Recent Progress of Machine Learning in Gene Therapy. Current Gene Therapy. 22(2). 132–143. 24 indexed citations

Lv, Hao, Lei Shi, Fanny Dao, et al.. (2021). Application of artificial intelligence and machine learning for COVID-19 drug discovery and vaccine design. Briefings in Bioinformatics. 22(6). 68 indexed citations

Wang, Lida, et al.. (2020). Exploration of the correlation between GPCRs and drugs based on a learning to rank algorithm. Computers in Biology and Medicine. 119. 103660–103660. 29 indexed citations

Lv, Hao, Fanny Dao, Dan Zhang, et al.. (2020). iDNA-MS: An Integrated Computational Tool for Detecting DNA Modification Sites in Multiple Genomes. iScience. 23(4). 100991–100991. 99 indexed citations

10.

Chen, Wei, Pengmian Feng, Hui Yang, et al.. (2018). iRNA-3typeA: Identifying Three Types of Modification at RNA’s Adenosine Sites. Molecular Therapy — Nucleic Acids. 11. 468–474. 161 indexed citations

11.

Yang, Hui, Hao Lv, Hui Ding, Wei Chen, & Hao Lin. (2018). iRNA-2OM: A Sequence-Based Predictor for Identifying 2′-O-Methylation Sites in Homo sapiens. Journal of Computational Biology. 25(11). 1266–1277. 139 indexed citations

12.

Feng, Pengmian, Hui Ding, Wei Chen, & Hao Lin. (2016). Identifying RNA 5-methylcytosine sites via pseudo nucleotide compositions. Molecular BioSystems. 12(11). 3307–3311. 49 indexed citations

13.

Zhu, Panpan, Wenchao Li, En-Ze Deng, et al.. (2014). Predicting the subcellular localization of mycobacterial proteins by incorporating the optimal tripeptides into the general form of pseudo amino acid composition. Molecular BioSystems. 11(2). 558–563. 103 indexed citations

14.

Ding, Hui, Pengmian Feng, Wei Chen, & Hao Lin. (2014). Identification of bacteriophage virion proteins by the ANOVA feature selection and analysis. Molecular BioSystems. 10(8). 2229–2235. 156 indexed citations

15.

Li, Wenchao, Panpan Zhu, En-Ze Deng, et al.. (2014). Sequence analysis of origins of replication in the Saccharomyces cerevisiae genomes. Frontiers in Microbiology. 5. 574–574. 17 indexed citations

16.

Lin, Hao, En-Ze Deng, Hui Ding, Wei Chen, & Kuo‐Chen Chou. (2014). iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition. Nucleic Acids Research. 42(21). 12961–12972. 463 indexed citations breakdown →

17.

Ding, Hui, Hao Lin, Wei Chen, et al.. (2014). Prediction of protein structural classes based on feature selection technique. Interdisciplinary Sciences Computational Life Sciences. 6(3). 235–240. 28 indexed citations

18.

Cao, Jin, Jing Cai, Da Huang, et al.. (2013). miR-335 represents an invasion suppressor gene in ovarian cancer by targeting Bcl-w. Oncology Reports. 30(2). 701–706. 57 indexed citations

19.

Cai, Jing, et al.. (2013). Deregulation of let-7e in epithelial ovarian cancer promotes the development of resistance to cisplatin. Oncogenesis. 2(10). e75–e75. 78 indexed citations

20.

Lin, Hao, Chen Ding, Qiang Song, et al.. (2012). The prediction of protein structural class using averaged chemical shifts. Journal of Biomolecular Structure and Dynamics. 29(6). 1147–1153. 53 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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