Leping Wang
Impact in
- Pollution top 10%
- Pharmaceutical and Antibiotic Environmental Impacts
Papers in
- Ecology 8
- Bacteriophages and microbial interactions 8
-
- Microstructure and Mechanical Properties of Steels 4
- Co-authors
- Richard A. Dobbs (3 shared papers)Rakesh Govind (3 shared papers)Ying Lü (3 shared papers)Yajie Cao (8 shared papers)Xiaoye Wang (7 shared papers)Lei Li (5 shared papers)Yuqing Zhou (3 shared papers)Qingfeng Wang (3 shared papers)
- Journals
- Virus Genes (3 papers)Veterinary Microbiology (2 papers)Metals (2 papers)Environmental Science & Technology (2 papers)Viruses (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Leping Wang
35 papers receiving 476 citations
Peers
Comparison fields: 5 of 87
- Pollution 109
- Process Chemistry and Technology 24
- Metals and Alloys 18
- Health, Toxicology and Mutagenesis 81
- Microbiology 35
Countries citing papers authored by Leping Wang
This map shows the geographic impact of Leping 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 Leping Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leping Wang more than expected).
Fields of papers citing papers by Leping Wang
This network shows the impact of papers produced by Leping 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 Leping Wang. The network helps show where Leping Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Leping 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 104 | |
| 2 | 2008 | 62 | |
| 3 | 1993 | 57 | |
| 4 | 2022 | 36 | |
| 5 | 2023 | 36 | |
| 6 | 2021 | 27 | |
| 7 | 2023 | 23 | |
| 8 | 2022 | 19 | |
| 9 | 2022 | 15 | |
| 10 | 2010 | 13 | |
| 11 | 2019 | 13 | |
| 12 | 2023 | 11 | |
| 13 | 2022 | 11 | |
| 14 | 1995 | 9 | |
| 15 | 2021 | 8 | |
| 16 | On the Intertemporal Risk-Return Relation---a Bayesian Model Comparison Perspective | 2004 | 8 |
| 17 | 2023 | 7 | |
| 18 | 2023 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2015 | 6 |
About Leping Wang
Leping Wang is a scholar working on Ecology, Mechanical Engineering, Control and Systems Engineering, Food Science and Electrical and Electronic Engineering, having authored 44 papers that have together received 514 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (8 papers), Microstructure and Mechanical Properties of Steels (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Salmonella and Campylobacter epidemiology (4 papers), Metal Alloys Wear and Properties (4 papers), Advanced Neural Network Applications (3 papers), Cloud Computing and Resource Management (3 papers) and Microbial infections and disease research (3 papers). The work is most often cited by research in Pollution (109 citations), Process Chemistry and Technology (24 citations), Metals and Alloys (18 citations), Health, Toxicology and Mutagenesis (81 citations) and Microbiology (35 citations). Leping Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Richard A. Dobbs, Rakesh Govind, Ying Lü, Yajie Cao, Xiaoye Wang, Lei Li, Yuqing Zhou, Qingfeng Wang, Fucheng Zhang and Hao Peng. Their work appears in journals such as Virus Genes, Veterinary Microbiology, Metals, Environmental Science & Technology and Viruses.
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.