Ming Ren
Impact in
- Environmental Engineering top 5%
- Environmental Impact and Sustainability
Papers in
-
- Environmental Impact and Sustainability 9
-
- Authorship Attribution and Profiling 2
- Natural Language Processing Techniques 1
- Co-authors
- Hancheng Dai (7 shared papers)Xiaorui Liu (2 shared papers)M.S. Hossain (2 shared papers)James Glynn (1 shared paper)Brian Ó Gallachóir (1 shared paper)Tatsuya Hanaoka (1 shared paper)Chen Huang (4 shared papers)Teng Ma (3 shared papers)
- Journals
- Applied Energy (5 papers)Information Processing & Management (3 papers)ACM Transactions on Information Systems (1 paper)Resources Conservation and Recycling (1 paper)Nature Food (1 paper)
- Partner nations
- ChinaAustriaUnited States
In The Last Decade
Ming Ren
15 papers receiving 409 citations
Peers
Comparison fields: 5 of 80
- Environmental Engineering 163
- Energy Engineering and Power Technology 18
- Mechanical Engineering 144
- Fuel Technology 3
- Economics and Econometrics 79
Countries citing papers authored by Ming Ren
This map shows the geographic impact of Ming Ren'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 Ming Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Ren more than expected).
Fields of papers citing papers by Ming Ren
This network shows the impact of papers produced by Ming Ren. 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 Ming Ren. The network helps show where Ming Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Ren, 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 | 2021 | 228 | |
| 2 | 2022 | 56 | |
| 3 | 2023 | 53 | |
| 4 | 2023 | 22 | |
| 5 | 2022 | 12 | |
| 6 | 2018 | 11 | |
| 7 | 2023 | 9 | |
| 8 | 2024 | 7 | |
| 9 | 2022 | 6 | |
| 10 | The Optimal Technological Development Path to Reduce Pollution and Restructure Iron and Steel Industry for Sustainable Transition | 2018 | 5 |
| 11 | 2025 | 4 | |
| 12 | 2025 | 4 | |
| 13 | 2024 | 4 | |
| 14 | 2025 | 1 | |
| 15 | 2017 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Ming Ren
Ming Ren is a scholar working on Environmental Engineering, Artificial Intelligence, Pollution, Economics and Econometrics and Mechanical Engineering, having authored 17 papers that have together received 423 indexed citations. Recurring topics across this work include Environmental Impact and Sustainability (9 papers), Global Energy and Sustainability Research (2 papers), Authorship Attribution and Profiling (2 papers), Climate Change Policy and Economics (2 papers), Energy and Environment Impacts (2 papers), Benford’s Law and Fraud Detection (2 papers), Natural Language Processing Techniques (1 paper) and Electric Vehicles and Infrastructure (1 paper). The work is most often cited by research in Environmental Engineering (163 citations), Energy Engineering and Power Technology (18 citations), Mechanical Engineering (144 citations), Fuel Technology (3 citations) and Economics and Econometrics (79 citations). Ming Ren has collaborated with scholars based in China, Austria and United States. Frequent co-authors include Hancheng Dai, Xiaorui Liu, M.S. Hossain, James Glynn, Brian Ó Gallachóir, Tatsuya Hanaoka, Chen Huang, Teng Ma, Silu Zhang and Chaoyi Guo. Their work appears in journals such as Applied Energy, Information Processing & Management, ACM Transactions on Information Systems, Resources Conservation and Recycling and Nature Food.
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.