Hua Shen
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- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 3
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- Ionosphere and magnetosphere dynamics 3
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- Speech and dialogue systems 2
- Topic Modeling 2
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- Earthquake Detection and Analysis 2
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- Spreadsheets and End-User Computing 2
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- Tribology and Lubrication Engineering 2
- Co-authors
- Thomas L. KieftSnezna RogeljJunxing ZhengXia ZhangPeter J. O’BrienZhaochao LiXinhui XiaoQian Zhang
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Hua Shen
43 papers receiving 355 citations
Peers
Comparison fields: 5 of 126
- Health Informatics 10
- Biotechnology 22
- General Engineering 2
- Mechanics of Materials 39
- Animal Science and Zoology 16
Countries citing papers authored by Hua Shen
This map shows the geographic impact of Hua Shen'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 Hua Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Shen more than expected).
Fields of papers citing papers by Hua Shen
This network shows the impact of papers produced by Hua Shen. 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 Hua Shen. The network helps show where Hua Shen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hua Shen, 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 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 25 | |
| 8 | 2023 | 20 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 21 | |
| 11 | 2022 | 6 | |
| 12 | Water retention capacity of drained soil columns with grained layers. | 2019 | 1 |
| 13 | 2015 | 1 | |
| 14 | Granulosa and Oocyte Development | 2012 | 1 |
| 15 | A cross-sectional study on anxiety,depression status and quality of life in infertile women | 2010 | 1 |
| 16 | Comparative Toxicity of PCBs and PBDEs Using Human Cancer Cell Lines and Zebrafish Embryos | 2009 | 5 |
| 17 | Experimental Research on the Beams Strengthened by Section Enlargement under Secondary Loading Condition | 2007 | 2 |
| 18 | Autotesting of the Optical Glass Stress | 2005 | 1 |
| 19 | The characteristic of sediment and its strata of Core 430 from the East Pacific Ocean | 1999 | 1 |
| 20 | 1993 | 33 |
About Hua Shen
Hua Shen is a scholar working on Health Informatics, Software and Cancer Research, having authored 48 papers that have together received 360 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), Ionosphere and magnetosphere dynamics (3 papers), Speech and dialogue systems (2 papers), Earthquake Detection and Analysis (2 papers), Spreadsheets and End-User Computing (2 papers), Topic Modeling (2 papers) and Tribology and Lubrication Engineering (2 papers). The work is most often cited by research in Health Informatics (10 citations), Biotechnology (22 citations) and General Engineering (2 citations). Hua Shen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Thomas L. Kieft, Snezna Rogelj, Junxing Zheng, Xia Zhang, Peter J. O’Brien, Zhaochao Li, Xinhui Xiao, Qian Zhang, Ting-Hao Huang and Xuemin Liu.
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.