Lili Wang
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Economics and Econometrics top 1%
- Energy, Environment, Economic Growth
- Climate Change Policy and Economics
Papers in
-
- COVID-19 epidemiological studies 8
-
- scientometrics and bibliometrics research 12
- Co-authors
- Qiang WangGregory D. SaxtonMario CocciaRongrong LiZequn DongHugo ConfrariaXianwen WangAdam Szirmai
- Journals
- Scientometrics (6 papers)VOLUNTAS International Journal of Voluntary and Nonprofit Organizations (4 papers)Industrial and Corporate Change (3 papers)Research Evaluation (2 papers)Atmospheric and Oceanic Science Letters (2 papers)
- Partner nations
- ChinaNetherlandsUnited States
In The Last Decade
Lili Wang
113 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Modeling and Simulation 164
- Economics and Econometrics 920
- Statistics, Probability and Uncertainty 202
- Renewable Energy, Sustainability and the Environment 371
- Pollution 236
Countries citing papers authored by Lili Wang
This map shows the geographic impact of Lili 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 Lili Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lili Wang more than expected).
Fields of papers citing papers by Lili Wang
This network shows the impact of papers produced by Lili 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 Lili Wang. The network helps show where Lili Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lili 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 5 | |
| 8 | 2023 | 23 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 17 | |
| 12 | 2021 | 3 | |
| 13 | 2021 | 62 | |
| 14 | 2021 | 28 | |
| 15 | 2020 | 2 | |
| 16 | 2020 | 27 | |
| 17 | 2020 | 0 | |
| 18 | 2019 | 7 | |
| 19 | 2016 | 4 | |
| 20 | 2012 | 17 |
About Lili Wang
Lili Wang is a scholar working on Modeling and Simulation, Statistics, Probability and Uncertainty, Economics and Econometrics, Industrial and Manufacturing Engineering and General Energy, having authored 132 papers that have together received 2.4k indexed citations. Recurring topics across this work include Energy, Environment, Economic Growth (12 papers), scientometrics and bibliometrics research (12 papers), Economic Growth and Productivity (8 papers), COVID-19 epidemiological studies (8 papers), Innovation Policy and R&D (7 papers), Nonprofit Sector and Volunteering (7 papers), Atmospheric chemistry and aerosols (6 papers) and Energy and Environment Impacts (5 papers). The work is most often cited by research in Modeling and Simulation (164 citations), Economics and Econometrics (920 citations), Statistics, Probability and Uncertainty (202 citations), Renewable Energy, Sustainability and the Environment (371 citations) and Pollution (236 citations). Lili Wang has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Qiang Wang, Gregory D. Saxton, Mario Coccia, Rongrong Li, Zequn Dong, Hugo Confraria, Xianwen Wang, Adam Szirmai, Manuel Mira Godinho and Peter X.‐K. Song. Their work appears in journals such as Scientometrics, VOLUNTAS International Journal of Voluntary and Nonprofit Organizations, Industrial and Corporate Change, Research Evaluation and Atmospheric and Oceanic Science Letters.
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.