Liangwei Wang
- Rheumatology top 0.5%
- Systemic Lupus Erythematosus Research 9
- Immunology top 2%
-
- Monoclonal and Polyclonal Antibodies Research 7
- Media Technology top 5%
-
- Neural Networks Stability and Synchronization 8
-
- Cold Atom Physics and Bose-Einstein Condensates 5
-
- Neural Networks and Applications 5
-
- Cytokine Signaling Pathways and Interactions 4
-
- Advanced Memory and Neural Computing 3
-
- Advanced Mathematical Physics Problems 3
Liangwei Wang
44 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Rheumatology 1.2k
- Immunology 970
- Radiology, Nuclear Medicine and Imaging 462
- Media Technology 105
- Computer Vision and Pattern Recognition 227
Countries citing papers authored by Liangwei Wang
This map shows the geographic impact of Liangwei 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 Liangwei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liangwei Wang more than expected).
Fields of papers citing papers by Liangwei Wang
This network shows the impact of papers produced by Liangwei 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 Liangwei Wang. The network helps show where Liangwei Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Liangwei 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 21 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 0 | |
| 10 | 2022 | 6 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 14 | |
| 13 | 2020 | 2 | |
| 14 | 2020 | 239 | |
| 15 | 2020 | 0 | |
| 16 | 2019 | 4 | |
| 17 | 2018 | 3 | |
| 18 | 2018 | 54 | |
| 19 | Sifalimumab, an anti-interferon-α monoclonal antibody, in moderate to severe systemic lupus erythematosus: a randomised, double-blind, placebo-controlled studybreakdown → | 2016 | 382 |
| 20 | 2013 | 200 |
About Liangwei Wang
Liangwei Wang is a scholar working on Acoustics and Ultrasonics, Rheumatology, Applied Mathematics, Mathematical Physics and Modeling and Simulation, having authored 52 papers that have together received 2.0k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (9 papers), Neural Networks Stability and Synchronization (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Cold Atom Physics and Bose-Einstein Condensates (5 papers), Neural Networks and Applications (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Advanced Memory and Neural Computing (3 papers) and Advanced Mathematical Physics Problems (3 papers). The work is most often cited by research in Rheumatology (1.2k citations), Immunology (970 citations), Radiology, Nuclear Medicine and Imaging (462 citations), Media Technology (105 citations) and Computer Vision and Pattern Recognition (227 citations). Liangwei Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Gabor G. Illei, Kenneth Kalunian, Victoria P. Werth, Joan T. Merrill, Richard Furie, Munther A. Khamashta, Jörn Drappa, Warren Greth, Philip Z. Brohawn and Stephen Yoo. Their work appears in journals such as Modern Rheumatology, Lupus Science & Medicine, Arthritis & Rheumatology, Applied Mathematics Letters and Nature Medicine.
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.