Jia Zeng
- Molecular Biology
- Artificial Intelligence top 5%
- Cancer Research top 5%
- Pulmonary and Respiratory Medicine top 10%
- Oncology
- Co-authors
- Reda AlhajjFakhri KarrayMd. Milon IslamVijaykumar HollaFunda Meric‐BernstamShanfeng ZhuHiroshi MamitsukaAnn M. Bailey
- Topics
- Cancer Genomics and Diagnostics (13 papers)Bioinformatics and Genomic Networks (12 papers)RNA and protein synthesis mechanisms (10 papers)
- Journals
- Applied Physics LettersBioinformaticsIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jia Zeng
82 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Molecular Biology 479
- Artificial Intelligence 394
- Cancer Research 324
- Pulmonary and Respiratory Medicine 228
- Oncology 224
Countries citing papers authored by Jia Zeng
This map shows the geographic impact of Jia Zeng'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 Jia Zeng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia Zeng more than expected).
Fields of papers citing papers by Jia Zeng
This network shows the impact of papers produced by Jia Zeng. 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 Jia Zeng. The network helps show where Jia Zeng may publish in the future.
Co-authorship network of co-authors of Jia Zeng
This figure shows the co-authorship network connecting the top 25 collaborators of Jia Zeng. A scholar is included among the top collaborators of Jia Zeng 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 Jia Zeng. Jia Zeng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 6 | |
| 11 | 4 | |
| 12 | A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)breakdown → | 218 |
| 13 | 8 | |
| 14 | 4 | |
| 15 | 41 | |
| 16 | 29 | |
| 17 | 139 | |
| 18 | 15 | |
| 19 | Analysis of 215 cases adverse reaction caused by clindamycin | 1 |
| 20 | Classification by Multi-Perspective Representation Method. | 2 |
About Jia Zeng
Jia Zeng is a scholar working on Cancer Research, Health Informatics and Artificial Intelligence, having authored 97 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (13 papers), Bioinformatics and Genomic Networks (12 papers) and RNA and protein synthesis mechanisms (10 papers). The work is most often cited by research in Health Informatics (55 citations), Cancer Research (324 citations) and Artificial Intelligence (394 citations). Jia Zeng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Reda Alhajj, Fakhri Karray, Md. Milon Islam, Vijaykumar Holla, Funda Meric‐Bernstam, Shanfeng Zhu, Hiroshi Mamitsuka, Ann M. Bailey, Gordon B. Mills and John Mendelsohn. Their work appears in journals such as Applied Physics Letters, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.