Zikai Wang
Impact in
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- Software System Performance and Reliability
- Network Security and Intrusion Detection
Papers in
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- Anomaly Detection Techniques and Applications 2
- AI in cancer detection 2
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- Gut microbiota and health 7
- Co-authors
- Yunsheng Yang (10 shared papers)Nana Zhang (2 shared papers)Jing‐Yuan Fang (1 shared paper)Huanjie Cai (2 shared papers)Gerrit Hoogenboom (1 shared paper)Gang Sun (5 shared papers)Bin Yan (3 shared papers)Lihua Peng (3 shared papers)
- Journals
- IEEE Access (3 papers)Scientific Reports (2 papers)Gut Microbes (1 paper)Oncotarget (1 paper)Atmosphere (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Zikai Wang
40 papers receiving 565 citations
Peers
Comparison fields: 5 of 115
- Gastroenterology 22
- Computer Networks and Communications 104
- Oncology 66
- Software 11
- Infectious Diseases 40
Countries citing papers authored by Zikai Wang
This map shows the geographic impact of Zikai 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 Zikai Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zikai Wang more than expected).
Fields of papers citing papers by Zikai Wang
This network shows the impact of papers produced by Zikai 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 Zikai Wang. The network helps show where Zikai Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Zikai Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 86 | |
| 2 | 2023 | 78 | |
| 3 | 2016 | 58 | |
| 4 | 2018 | 47 | |
| 5 | 2019 | 40 | |
| 6 | 2020 | 39 | |
| 7 | 2018 | 34 | |
| 8 | 2021 | 23 | |
| 9 | 2023 | 22 | |
| 10 | 2020 | 16 | |
| 11 | 2022 | 13 | |
| 12 | 2024 | 13 | |
| 13 | 2018 | 12 | |
| 14 | 2013 | 11 | |
| 15 | 2025 | 11 | |
| 16 | 2024 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 2008 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2023 | 6 |
About Zikai Wang
Zikai Wang is a scholar working on Artificial Intelligence, Molecular Biology, Surgery, Computer Networks and Communications and Signal Processing, having authored 41 papers that have together received 577 indexed citations. Recurring topics across this work include Gut microbiota and health (7 papers), Helicobacter pylori-related gastroenterology studies (3 papers), Stock Market Forecasting Methods (3 papers), Time Series Analysis and Forecasting (3 papers), Anomaly Detection Techniques and Applications (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Climate change impacts on agriculture (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Gastroenterology (22 citations), Computer Networks and Communications (104 citations), Oncology (66 citations), Software (11 citations) and Infectious Diseases (40 citations). Zikai Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yunsheng Yang, Nana Zhang, Jing‐Yuan Fang, Huanjie Cai, Gerrit Hoogenboom, Gang Sun, Bin Yan, Lihua Peng, Gang Sun and Zhongsheng Lu. Their work appears in journals such as IEEE Access, Scientific Reports, Gut Microbes, Oncotarget and Atmosphere.
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.