Wei Peng
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Mechanical Engineering
- Materials Chemistry
- Co-authors
- Anhad MohananeyAlex WarstadtHaokun LiuAlicia ParrishSheng‐Fu WangSamuel R. BowmanWenzhou YuWeiyan Jiang
- Topics
- Topic Modeling (29 papers)Natural Language Processing Techniques (20 papers)Multimodal Machine Learning Applications (8 papers)
- Journals
- Angewandte Chemie International EditionAdvanced Energy MaterialsJournal of Cleaner Production
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Wei Peng
64 papers receiving 629 citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 339
- Electrical and Electronic Engineering 84
- Computer Vision and Pattern Recognition 68
- Mechanical Engineering 51
- Materials Chemistry 46
Countries citing papers authored by Wei Peng
This map shows the geographic impact of Wei Peng'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 Wei Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Peng more than expected).
Fields of papers citing papers by Wei Peng
This network shows the impact of papers produced by Wei Peng. 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 Wei Peng. The network helps show where Wei Peng may publish in the future.
Co-authorship network of co-authors of Wei Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Wei Peng. A scholar is included among the top collaborators of Wei Peng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wei Peng. Wei Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 14 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 16 | |
| 14 | 4 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | Remote sensing estimation of aerosol composition and radiative effects in haze days | 6 |
| 19 | Numerical Simulation and Experimental for Flow Characteristics in Bubbling Fluidized-bed | 1 |
| 20 | Discovery of Triassic Norian strata in the Hoh Xil Lake area, western Qinghai, and its geological significance | 4 |
About Wei Peng
Wei Peng is a scholar working on Artificial Intelligence, Geochemistry and Petrology and Building and Construction, having authored 71 papers that have together received 648 indexed citations. Recurring topics across this work include Topic Modeling (29 papers), Natural Language Processing Techniques (20 papers) and Multimodal Machine Learning Applications (8 papers). The work is most often cited by research in Artificial Intelligence (339 citations), Geochemistry and Petrology (44 citations) and Building and Construction (45 citations). Wei Peng has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Anhad Mohananey, Alex Warstadt, Haokun Liu, Alicia Parrish, Sheng‐Fu Wang, Samuel R. Bowman, Wenzhou Yu, Weiyan Jiang, Jiangyan Wang and Yue Hu. Their work appears in journals such as Angewandte Chemie International Edition, Advanced Energy Materials and Journal of Cleaner Production.
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.