Mengdi Wang
Impact in
- Computational Mathematics top 5%
-
- Electrocatalysts for Energy Conversion
- Advanced Photocatalysis Techniques
Papers in
-
- Stochastic Gradient Optimization Techniques 20
- Reinforcement Learning in Robotics 17
- Co-authors
- Dimitri P. Bertsekas (9 shared papers)Xiang Wu (5 shared papers)Han Liu (3 shared papers)Ethan X. Fang (4 shared papers)Xingyu Liu (2 shared papers)Lin F. Yang (8 shared papers)Le Cong (9 shared papers)Jian Wu (1 shared paper)
- Journals
- Nature Communications (6 papers)SIAM Journal on Optimization (5 papers)ACM Transactions on Graphics (5 papers)Scientific Reports (4 papers)Mathematical Programming (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Mengdi Wang
207 papers receiving 3.2k citations
Mengdi Wang's Hit Papers
Peers
Comparison fields: 5 of 185
- Computational Mathematics 28
- Renewable Energy, Sustainability and the Environment 284
- Artificial Intelligence 601
- Management Science and Operations Research 192
- Catalysis 99
Countries citing papers authored by Mengdi Wang
This map shows the geographic impact of Mengdi 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 Mengdi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengdi Wang more than expected).
Fields of papers citing papers by Mengdi Wang
This network shows the impact of papers produced by Mengdi 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 Mengdi Wang. The network helps show where Mengdi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mengdi 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 316 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Histone Lactylation Boosts Reparative Gene Activation Post–Myocardial Infarction Hit paper breakdown → | 2022 | 353 |
| 2 | 2022 | 129 | |
| 3 | 2020 | 91 | |
| 4 | 2016 | 91 | |
| 5 | 2019 | 89 | |
| 6 | 2021 | 84 | |
| 7 | 2021 | 79 | |
| 8 | 2023 | 74 | |
| 9 | A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions Hit paper breakdown → | 2024 | 67 |
| 10 | 2021 | 59 | |
| 11 | 2020 | 58 | |
| 12 | 2022 | 56 | |
| 13 | 2021 | 55 | |
| 14 | 2015 | 50 | |
| 15 | 2020 | 46 | |
| 16 | 2024 | 45 | |
| 17 | 2022 | 43 | |
| 18 | 2018 | 41 | |
| 19 | 2020 | 40 | |
| 20 | 2020 | 39 |
About Mengdi Wang
Mengdi Wang is a scholar working on Artificial Intelligence, Molecular Biology, Computational Mechanics, Electrical and Electronic Engineering and Materials Chemistry, having authored 316 papers that have together received 3.3k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (25 papers), Stochastic Gradient Optimization Techniques (20 papers), Reinforcement Learning in Robotics (17 papers), Electrocatalysts for Energy Conversion (9 papers), Advanced Bandit Algorithms Research (9 papers), Advanced Optimization Algorithms Research (8 papers), Complex Network Analysis Techniques (7 papers) and Advanced Neural Network Applications (7 papers). The work is most often cited by research in Computational Mathematics (28 citations), Renewable Energy, Sustainability and the Environment (284 citations), Artificial Intelligence (601 citations), Management Science and Operations Research (192 citations) and Catalysis (99 citations). Mengdi Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dimitri P. Bertsekas, Xiang Wu, Han Liu, Ethan X. Fang, Xingyu Liu, Lin F. Yang, Le Cong, Jian Wu, Naixin Wang and Mian Yang. Their work appears in journals such as Nature Communications, SIAM Journal on Optimization, ACM Transactions on Graphics, Scientific Reports and Mathematical Programming.
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.