Hui Ding
- Molecular Biology top 0.5%
- Machine Learning in Bioinformatics 83
- RNA and protein synthesis mechanisms 68
- Genomics and Phylogenetic Studies 58
- RNA modifications and cancer 12
- vaccines and immunoinformatics approaches 11
- Circular RNAs in diseases 10
- Microbiology top 1%
- Cancer Research top 2%
- MicroRNA in disease regulation 15
- Cancer-related molecular mechanisms research 9
- Computational Theory and Mathematics top 0.5%
- Co-authors
- Hao LinWei ChenPengmian FengKuo‐Chen ChouHui YangEn-Ze DengHao LvFanny Dao
- Journals
- Briefings in Bioinformatics (7 papers)Scientific Reports (5 papers)Molecular Therapy — Nucleic Acids (5 papers)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Hui Ding
132 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Molecular Biology 7.5k
- Microbiology 407
- Cancer Research 873
- Computational Theory and Mathematics 759
- Health Information Management 47
Countries citing papers authored by Hui Ding
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
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
The 25 scholars most cited alongside Hui Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 13 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2021 | 24 | |
| 7 | 2021 | 68 | |
| 8 | 2020 | 29 | |
| 9 | 2020 | 99 | |
| 10 | 2018 | 161 | |
| 11 | 2018 | 139 | |
| 12 | 2016 | 49 | |
| 13 | 2014 | 103 | |
| 14 | 2014 | 156 | |
| 15 | 2014 | 17 | |
| 16 | iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide compositionbreakdown → | 2014 | 463 |
| 17 | 2014 | 28 | |
| 18 | 2013 | 57 | |
| 19 | 2013 | 78 | |
| 20 | 2012 | 53 |
About Hui Ding
Hui Ding is a scholar working on Molecular Biology, Cancer Research, Health Informatics, Computational Theory and Mathematics and Microbiology, having authored 135 papers that have together received 8.2k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (83 papers), RNA and protein synthesis mechanisms (68 papers), Genomics and Phylogenetic Studies (58 papers), MicroRNA in disease regulation (15 papers), RNA modifications and cancer (12 papers), vaccines and immunoinformatics approaches (11 papers), Circular RNAs in diseases (10 papers) and Cancer-related molecular mechanisms research (9 papers). The work is most often cited by research in Molecular Biology (7.5k citations), Microbiology (407 citations), Cancer Research (873 citations), Computational Theory and Mathematics (759 citations) and Health Information Management (47 citations). Hui Ding has collaborated with scholars based in China, United States and Saudi Arabia. Frequent 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. Their work appears in journals such as Briefings in Bioinformatics, Scientific Reports, Molecular Therapy — Nucleic Acids, Molecules and IEEE Access.
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.