Yiwei Wang
Impact in
Papers in
-
- Topic Modeling 6
- Natural Language Processing Techniques 6
- Co-authors
- Lianyu Zheng (17 shared papers)Frederick D. Otto (1 shared paper)Alan E. Mather (1 shared paper)Shuo Xu (1 shared paper)Chun‐Ping Chang (3 shared papers)Christian Gogu (7 shared papers)Robert X. Gao (2 shared papers)Jian Zhou (5 shared papers)
- Journals
- Journal of Manufacturing Systems (6 papers)Sustainability (2 papers)Materials Science and Engineering A (2 papers)Chinese Journal of Aeronautics (2 papers)Advanced Engineering Informatics (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yiwei Wang
93 papers receiving 1.3k citations
Yiwei Wang's Hit Papers
Peers
Comparison fields: 5 of 109
- Medical Laboratory Technology 28
- Industrial and Manufacturing Engineering 141
- Transportation 89
- Mechanical Engineering 450
- General Energy 12
Countries citing papers authored by Yiwei Wang
This map shows the geographic impact of Yiwei 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 Yiwei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiwei Wang more than expected).
Fields of papers citing papers by Yiwei Wang
This network shows the impact of papers produced by Yiwei 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 Yiwei Wang. The network helps show where Yiwei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yiwei 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 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 176 | |
| 2 | 2021 | 99 | |
| 3 | 2020 | 90 | |
| 4 | 2021 | 67 | |
| 5 | 2022 | 56 | |
| 6 | 2019 | 54 | |
| 7 | 2017 | 38 | |
| 8 | 2010 | 37 | |
| 9 | 2017 | 35 | |
| 10 | 2016 | 33 | |
| 11 | 2022 | 31 | |
| 12 | 2024 | 30 | |
| 13 | 2022 | 30 | |
| 14 | 2007 | 29 | |
| 15 | 2021 | 28 | |
| 16 | 2010 | 26 | |
| 17 | 2020 | 26 | |
| 18 | 2020 | 25 | |
| 19 | Diffusion model-driven smart design and manufacturing: Prospects and challenges Hit paper breakdown → | 2025 | 22 |
| 20 | 2020 | 22 |
About Yiwei Wang
Yiwei Wang is a scholar working on Mechanical Engineering, Artificial Intelligence, Control and Systems Engineering, Mechanics of Materials and Industrial and Manufacturing Engineering, having authored 104 papers that have together received 1.3k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (9 papers), Machine Fault Diagnosis Techniques (7 papers), Transportation Planning and Optimization (7 papers), Topic Modeling (6 papers), Natural Language Processing Techniques (6 papers), Hydrocarbon exploration and reservoir analysis (6 papers), Fault Detection and Control Systems (5 papers) and Energy, Environment, Economic Growth (5 papers). The work is most often cited by research in Medical Laboratory Technology (28 citations), Industrial and Manufacturing Engineering (141 citations), Transportation (89 citations), Mechanical Engineering (450 citations) and General Energy (12 citations). Yiwei Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Lianyu Zheng, Frederick D. Otto, Alan E. Mather, Shuo Xu, Chun‐Ping Chang, Christian Gogu, Robert X. Gao, Jian Zhou, Lei Deng and Ke Wang. Their work appears in journals such as Journal of Manufacturing Systems, Sustainability, Materials Science and Engineering A, Chinese Journal of Aeronautics and Advanced Engineering Informatics.
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.