Tiejun Wu
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
- Obstetrics and Gynecology top 10%
- Pregnancy and preeclampsia studies
Papers in
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- Distributed Control Multi-Agent Systems 3
- Network Security and Intrusion Detection 3
-
- Long-Term Effects of COVID-19 4
- Co-authors
- Jia Shi (1 shared paper)Furong Gao (1 shared paper)Hui Tian (6 shared papers)Shuangfeng Chen (3 shared papers)Zhenxiao Jin (1 shared paper)Jie Ding (1 shared paper)Weiyong Liu (1 shared paper)Heping Zhou (1 shared paper)
- Journals
- International Journal of Systems Science (2 papers)Frontiers in Medicine (2 papers)Circulation Research (1 paper)Archives of Medical Research (1 paper)BMC Public Health (1 paper)
- Partner nations
- ChinaBangladeshAustralia
In The Last Decade
Tiejun Wu
24 papers receiving 584 citations
Tiejun Wu's Hit Papers
Peers
Comparison fields: 5 of 100
- Genetics 81
- Obstetrics and Gynecology 52
- Neurology 74
- Infectious Diseases 78
- Immunology 71
Countries citing papers authored by Tiejun Wu
This map shows the geographic impact of Tiejun Wu'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 Tiejun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiejun Wu more than expected).
Fields of papers citing papers by Tiejun Wu
This network shows the impact of papers produced by Tiejun Wu. 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 Tiejun Wu. The network helps show where Tiejun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tiejun Wu, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 133 | |
| 2 | Gut Dysbiosis Promotes Preeclampsia by Regulating Macrophages and Trophoblasts Hit paper breakdown → | 2022 | 108 |
| 3 | 2009 | 72 | |
| 4 | 2006 | 64 | |
| 5 | 2001 | 59 | |
| 6 | 2019 | 41 | |
| 7 | 2020 | 28 | |
| 8 | 2010 | 18 | |
| 9 | 2018 | 9 | |
| 10 | 2013 | 9 | |
| 11 | 2021 | 8 | |
| 12 | 2023 | 8 | |
| 13 | [Effect of total parenteral nutrition with supplementation of glutamine on the plasma diamine oxidase activity and D-lactate content in patients with multiple organ dysfunction syndrome]. | 2006 | 8 |
| 14 | 2020 | 6 | |
| 15 | 2004 | 5 | |
| 16 | 2004 | 4 | |
| 17 | 2025 | 2 | |
| 18 | 2024 | 2 | |
| 19 | [Clinical analysis of the factors related to diarrhea in intensive care unit]. | 2004 | 2 |
| 20 | 2020 | 2 |
About Tiejun Wu
Tiejun Wu is a scholar working on Computer Networks and Communications, Neurology, Control and Systems Engineering, Molecular Biology and Critical Care and Intensive Care Medicine, having authored 28 papers that have together received 594 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (4 papers), Smart Grid Security and Resilience (3 papers), Distributed Control Multi-Agent Systems (3 papers), Network Security and Intrusion Detection (3 papers), COVID-19 Clinical Research Studies (3 papers), Face and Expression Recognition (2 papers), Cell Adhesion Molecules Research (2 papers) and Intensive Care Unit Cognitive Disorders (2 papers). The work is most often cited by research in Genetics (81 citations), Obstetrics and Gynecology (52 citations), Neurology (74 citations), Infectious Diseases (78 citations) and Immunology (71 citations). Tiejun Wu has collaborated with scholars based in China, Bangladesh and Australia. Frequent co-authors include Jia Shi, Furong Gao, Hui Tian, Shuangfeng Chen, Zhenxiao Jin, Jie Ding, Weiyong Liu, Heping Zhou, Min Meng and Yingxin Zhang. Their work appears in journals such as International Journal of Systems Science, Frontiers in Medicine, Circulation Research, Archives of Medical Research and BMC Public Health.
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.