Zhongya Wang

924 total citations · 1 hit paper
29 papers, 623 citations indexed

About

Zhongya Wang is a scholar working on Computer Vision and Pattern Recognition, Genetics and Artificial Intelligence. According to data from OpenAlex, Zhongya Wang has authored 29 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Genetics and 6 papers in Artificial Intelligence. Recurrent topics in Zhongya Wang's work include Inflammatory Bowel Disease (4 papers), Virus-based gene therapy research (3 papers) and Microscopic Colitis (3 papers). Zhongya Wang is often cited by papers focused on Inflammatory Bowel Disease (4 papers), Virus-based gene therapy research (3 papers) and Microscopic Colitis (3 papers). Zhongya Wang collaborates with scholars based in China, United States and Canada. Zhongya Wang's co-authors include Detlev Boison, Markus Grompe, Jérôme Clasadonte, Philip G. Haydon, Eliana Scemes, Milton J. Finegold, Mark A. Kay, Nicole K. Paulk, Karsten Wursthorn and Natalie Roese and has published in prestigious journals such as Neuron, Journal of Clinical Oncology and Hepatology.

In The Last Decade

Zhongya Wang

29 papers receiving 615 citations

Hit Papers

Loss of perivascular aquaporin-4 localization impairs gly... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhongya Wang China 10 249 173 138 76 68 29 623
Tobias Hildebrandt Germany 20 586 2.4× 166 1.0× 133 1.0× 19 0.3× 67 1.0× 54 1.3k
Annie Liu United States 14 244 1.0× 207 1.2× 41 0.3× 22 0.3× 49 0.7× 32 823
Shiying Li China 17 826 3.3× 258 1.5× 77 0.6× 22 0.3× 94 1.4× 84 1.4k
T. Tsukada Japan 17 432 1.7× 348 2.0× 135 1.0× 42 0.6× 31 0.5× 29 1.1k
Qinghua Liu China 14 395 1.6× 128 0.7× 30 0.2× 90 1.2× 90 1.3× 41 915
Jinsong Cai China 15 598 2.4× 482 2.8× 96 0.7× 44 0.6× 30 0.4× 24 1.4k
Frank A. Proudlock United Kingdom 22 521 2.1× 94 0.5× 89 0.6× 14 0.2× 89 1.3× 63 1.5k
Shi Shu China 16 339 1.4× 51 0.3× 29 0.2× 36 0.5× 38 0.6× 59 836
Jacques Champier France 18 162 0.7× 101 0.6× 34 0.2× 83 1.1× 31 0.5× 46 866
Jian Mu China 21 555 2.2× 318 1.8× 234 1.7× 40 0.5× 122 1.8× 52 1.6k

Countries citing papers authored by Zhongya Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhongya Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongya Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongya Wang. A scholar is included among the top collaborators of Zhongya Wang 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 Zhongya Wang. Zhongya Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Zhongya & Shuang Liu. (2025). Analysis of River Management Method Based on Improved Bidirectional Long Short-Term Memory Network for Water Quality Prediction. Water Conservation Science and Engineering. 10(1). 2 indexed citations
2.
3.
Ma, Christopher, Brian G. Feagan, Zhongya Wang, et al.. (2024). Re-evaluating Methods for Assessing Differences in Response in Ileal vs Colonic Crohn’s Disease: A Post-hoc Analysis of the FITZROY Trial. Journal of Crohn s and Colitis. 19(1). 1 indexed citations
5.
Lefèvre, Pavine, Zhongya Wang, Wendy A. Teft, et al.. (2024). Identification of immune cell markers associated with ulcerative colitis histological disease activity in colonic biopsies. Journal of Clinical Pathology. 78(9). 605–613. 3 indexed citations
6.
Burton, Elizabeth M., Lauren Simpson, Víctor G. Prieto, et al.. (2023). Expanded cohort and extended follow-up of neoadjuvant plus adjuvant (neo + adj) dabrafenib (D) and trametinib (T) in patients (pts) with surgically resectable stage (stg) III/IV melanoma.. Journal of Clinical Oncology. 41(16_suppl). 9583–9583. 1 indexed citations
7.
Linggi, Bryan, Jonathan Cremer, Zhongya Wang, et al.. (2023). Effect of storage time on peripheral blood mononuclear cell isolation from blood collected in vacutainer CPT™ tubes. Journal of Immunological Methods. 519. 113504–113504. 3 indexed citations
8.
Zhou, Jingbo, Zhongya Wang, Yiying Wang, et al.. (2022). Mixed nuts with high nutrient density improve insulin resistance in mice by gut microbiota remodeling. Food & Function. 13(19). 9904–9917. 6 indexed citations
9.
Simon, Matthew, Marie Xun Wang, Ozama Ismail, et al.. (2022). Loss of perivascular aquaporin-4 localization impairs glymphatic exchange and promotes amyloid β plaque formation in mice. Alzheimer s Research & Therapy. 14(1). 59–59. 144 indexed citations breakdown →
10.
Battat, Robert, Niels Vande Casteele, Rish K. Pai, et al.. (2020). Evaluating the optimum number of biopsies to assess histological inflammation in ulcerative colitis: a retrospective cohort study. Alimentary Pharmacology & Therapeutics. 52(10). 1574–1582. 7 indexed citations
11.
Clasadonte, Jérôme, Eliana Scemes, Zhongya Wang, Detlev Boison, & Philip G. Haydon. (2017). Connexin 43-Mediated Astroglial Metabolic Networks Contribute to the Regulation of the Sleep-Wake Cycle. Neuron. 95(6). 1365–1380.e5. 146 indexed citations
12.
Wang, Zhongya, et al.. (2016). A task allocation algorithm based on market mechanism for multiple robot systems. 150–155. 8 indexed citations
13.
Li, Min, et al.. (2015). Coordinated multi-robot target hunting based on extended cooperative game. 216–221. 11 indexed citations
14.
15.
Wang, Zhongya, et al.. (2014). A CUDA-enabled Parallel Implementation of Collaborative Filtering. Procedia Computer Science. 30. 66–74. 11 indexed citations
16.
Zhao, Renliang, et al.. (2013). CUDA-Enabled Multiple Symbol Detection for PCM/FM Demodulation. 8. 9–15. 1 indexed citations
17.
Wang, Zhongya, Leszek Lisowski, Milton J. Finegold, et al.. (2012). AAV Vectors Containing rDNA Homology Display Increased Chromosomal Integration and Transgene Persistence. Molecular Therapy. 20(10). 1902–1911. 35 indexed citations
18.
Lisowski, Leszek, Zhongya Wang, Yue Zhang, et al.. (2012). Ribosomal DNA Integrating rAAV-rDNA Vectors Allow for Stable Transgene Expression. Molecular Therapy. 20(10). 1912–1923. 26 indexed citations
19.
Paulk, Nicole K., Karsten Wursthorn, Zhongya Wang, et al.. (2009). Adeno‐associated virus gene repair corrects a mouse model of hereditary tyrosinemia in vivo†‡. Hepatology. 51(4). 1200–1208. 94 indexed citations
20.
Willenbring, Holger, Amar Deep Sharma, Arndt Vogel, et al.. (2008). Loss of p21 Permits Carcinogenesis from Chronically Damaged Liver and Kidney Epithelial Cells despite Unchecked Apoptosis. Cancer Cell. 14(1). 59–67. 52 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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