Lang Wang
Impact in
- General Energy top 10%
- Building and Construction top 5%
- Anaerobic Digestion and Biogas Production
Papers in
-
- AI in cancer detection 7
- Co-authors
- Yuan Lu (1 shared paper)Xiao Wu (1 shared paper)Bing Han (1 shared paper)Xin-Hui Xing (1 shared paper)Zhidan Liu (1 shared paper)Linjun Wang (1 shared paper)Chong Zhang (1 shared paper)Xuefen Chi (3 shared papers)
- Journals
- Scientific Reports (2 papers)Progress in Nuclear Energy (2 papers)Multimedia Tools and Applications (2 papers)Medical Physics (1 paper)Nuclear Engineering and Design (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Lang Wang
43 papers receiving 617 citations
Lang Wang's Hit Papers
Peers
Comparison fields: 5 of 99
- General Energy 14
- Building and Construction 157
- Energy Engineering and Power Technology 26
- Health Informatics 8
- Environmental Engineering 65
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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 175 | |
| 2 | 2015 | 71 | |
| 3 | 2022 | 51 | |
| 4 | The impact of digital transformation and earnings management on ESG performance: evidence from Chinese listed enterprises Hit paper breakdown → | 2024 | 40 |
| 5 | 2018 | 38 | |
| 6 | 2023 | 29 | |
| 7 | 2022 | 22 | |
| 8 | 2019 | 20 | |
| 9 | 2020 | 18 | |
| 10 | 2016 | 18 | |
| 11 | 2021 | 15 | |
| 12 | 2022 | 12 | |
| 13 | 2018 | 11 | |
| 14 | 2018 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 2021 | 9 | |
| 17 | Nonparametric Test for the Form of Parametric Regression with Time Series Errors | 2007 | 8 |
| 18 | 2022 | 6 | |
| 19 | 2019 | 6 | |
| 20 | 2009 | 6 |
About Lang Wang
Lang Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Aerospace Engineering, Economics and Econometrics and Radiology, Nuclear Medicine and Imaging, having authored 45 papers that have together received 628 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Energy, Environment, Economic Growth (5 papers), Turbomachinery Performance and Optimization (4 papers), Nuclear Engineering Thermal-Hydraulics (4 papers), Fluid Dynamics and Turbulent Flows (3 papers), Nuclear reactor physics and engineering (3 papers) and Heat Transfer Mechanisms (3 papers). The work is most often cited by research in General Energy (14 citations), Building and Construction (157 citations), Energy Engineering and Power Technology (26 citations), Health Informatics (8 citations) and Environmental Engineering (65 citations). Lang Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yuan Lu, Xiao Wu, Bing Han, Xin-Hui Xing, Zhidan Liu, Linjun Wang, Chong Zhang, Xuefen Chi, Wenxiao Shi and Jing Deng. Their work appears in journals such as Scientific Reports, Progress in Nuclear Energy, Multimedia Tools and Applications, Medical Physics and Nuclear Engineering and Design.
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.