Leping Wang

664 citations
41 papers · 462 · h-index 11

Impact in

Papers in

Leping Wang

36 papers receiving 429 citations

Peers

Leping Wang
Comparison fields: 5 of 85
  • Pollution 100
  • Process Chemistry and Technology 24
  • Metals and Alloys 18
  • Microbiology 36
  • Health, Toxicology and Mutagenesis 77
Replace Bo Yin with:
Bo Yin China
Nihal Doğruöz Güngör Türkiye
Rashmi Ravindran Nair India
W.J. Ng Singapore
Simen Akkermans Belgium
Önder Kimyon Australia
Sung‐Ho Yun South Korea
Yanke Shi China
Tibor Anderlei Germany
Leping Wang relative to Bo Yin China Bo Yin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Leping Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Leping Wang Line = papers co-authored together Leping Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198996
2 200857
3 199353
4 202232
5 202328
6 202127
7 202319
8 202217
9 202214
10 201013
11 201910
12 19959
13 20228
14 20218
15
On the Intertemporal Risk-Return Relation---a Bayesian Model Comparison Perspective
20048
16 20237
17 20236
18 20156
19 20236
20 20215

About Leping Wang

Leping Wang is a scholar working on Ecology, Mechanical Engineering, Food Science, Electrical and Electronic Engineering and Infectious Diseases, having authored 41 papers that have together received 462 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (8 papers), Viral gastroenteritis research and epidemiology (5 papers), Microstructure and Mechanical Properties of Steels (4 papers), Salmonella and Campylobacter epidemiology (4 papers), Metal Alloys Wear and Properties (4 papers), Animal Virus Infections Studies (3 papers), Advanced Neural Network Applications (3 papers) and Cloud Computing and Resource Management (3 papers). The work is most often cited by research in Pollution (100 citations), Process Chemistry and Technology (24 citations), Metals and Alloys (18 citations), Microbiology (36 citations) and Health, Toxicology and Mutagenesis (77 citations). Leping Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Rakesh Govind, Richard A. Dobbs, Ying Lü, Xiaoye Wang, Yajie Cao, Lei Li, Yuqing Zhou, Qingfeng Wang, Fucheng Zhang and Tong Peng. Their work appears in journals such as Virus Genes, Metals, Environmental Science & Technology, Veterinary Microbiology 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.

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