Lang Wang
Impact in
- General Energy top 10%
- Building and Construction top 5%
- Anaerobic Digestion and Biogas Production
Papers in
-
- Turbomachinery Performance and Optimization 4
- Nuclear Engineering Thermal-Hydraulics 3
- Co-authors
- Xin-Hui Xing (1 shared paper)Chong Zhang (1 shared paper)Linjun Wang (1 shared paper)Zhidan Liu (1 shared paper)Xiao Wu (1 shared paper)Bing Han (1 shared paper)Yuan Lu (1 shared paper)Xuefen Chi (3 shared papers)
- Journals
- Progress in Nuclear Energy (2 papers)Multimedia Tools and Applications (2 papers)Scientific Reports (2 papers)China Communications (1 paper)Environment Development and Sustainability (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Lang Wang
41 papers receiving 692 citations
Peers
Comparison fields: 5 of 101
- General Energy 15
- Building and Construction 171
- Energy Engineering and Power Technology 28
- Environmental Engineering 75
- Health Informatics 7
Countries citing papers authored by Lang Wang
This map shows the geographic impact of Lang 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 Lang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lang Wang more than expected).
Fields of papers citing papers by Lang Wang
This network shows the impact of papers produced by Lang 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 Lang Wang. The network helps show where Lang Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lang 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 196 | |
| 2 | 2015 | 77 | |
| 3 | 2022 | 59 | |
| 4 | 2024 | 54 | |
| 5 | 2018 | 40 | |
| 6 | 2023 | 33 | |
| 7 | 2016 | 25 | |
| 8 | 2022 | 24 | |
| 9 | 2019 | 21 | |
| 10 | 2020 | 18 | |
| 11 | 2021 | 16 | |
| 12 | 2022 | 13 | |
| 13 | 2022 | 13 | |
| 14 | 2018 | 11 | |
| 15 | 2018 | 11 | |
| 16 | 2021 | 10 | |
| 17 | 2023 | 8 | |
| 18 | 2022 | 7 | |
| 19 | 2009 | 6 | |
| 20 | 2019 | 6 |
About Lang Wang
Lang Wang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Economics and Econometrics and Radiology, Nuclear Medicine and Imaging, having authored 43 papers that have together received 710 indexed citations. Recurring topics across this work include Energy, Environment, Economic Growth (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (5 papers), Turbomachinery Performance and Optimization (4 papers), Heat Transfer Mechanisms (3 papers), Optical Wireless Communication Technologies (3 papers), Nuclear Engineering Thermal-Hydraulics (3 papers) and Fluid Dynamics and Turbulent Flows (3 papers). The work is most often cited by research in General Energy (15 citations), Building and Construction (171 citations), Energy Engineering and Power Technology (28 citations), Environmental Engineering (75 citations) and Health Informatics (7 citations). Lang Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xin-Hui Xing, Chong Zhang, Linjun Wang, Zhidan Liu, Xiao Wu, Bing Han, Yuan Lu, Xuefen Chi, Jing Wei Deng and Wenxiao Shi. Their work appears in journals such as Progress in Nuclear Energy, Multimedia Tools and Applications, Scientific Reports, China Communications and Environment Development and Sustainability.
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.