Pingping Wen

637 citations
34 papers · 412 · h-index 11

Impact in

    • Meat and Animal Product Quality
    • Machine Learning in Bioinformatics
    • Genomics and Phylogenetic Studies
    • RNA and protein synthesis mechanisms
    • vaccines and immunoinformatics approaches
    • Protein Hydrolysis and Bioactive Peptides

Papers in

Pingping Wen

29 papers receiving 401 citations

Peers

Pingping Wen
Comparison fields: 5 of 76
  • Animal Science and Zoology 57
  • Molecular Biology 255
  • Food Science 60
  • Microbiology 18
  • Clinical Biochemistry 8
Replace Weiqiang Cheng with:
Weiqiang Cheng United States
Xueru Zhang China
Vanessa Petit France
Ming Fang China
Sarah Clarke United Kingdom
LeAnna N. Willison United States
Georgia Moschopoulou Greece
Joseph A. Price United States
Susanne W. Bruun Denmark
Zhihong Xiao China
Pingping Wen relative to Weiqiang Cheng United States Weiqiang Cheng's profile →
Citations per field
00.5×6.3×
Weiqiang Cheng · 1×
Citations per year

Countries citing papers authored by Pingping Wen

Since Specialization
Citations

This map shows the geographic impact of Pingping Wen'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 Pingping Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingping Wen more than expected).

Fields of papers citing papers by Pingping Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pingping Wen. 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 Pingping Wen. The network helps show where Pingping Wen may publish in the future.

Co-authors

The 25 scholars most cited alongside Pingping Wen, 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 Pingping Wen Line = papers co-authored together Pingping Wen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201557
2 201655
3 201649
4 202148
5 202242
6 201832
7 201115
8 201812
9 201811
10 201510
11 202210
12 20178
13 20208
14 20237
15 20237
16 20187
17 20245
18 20105
19 20234
20 20074

About Pingping Wen

Pingping Wen is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Molecular Biology, Control and Systems Engineering and Food Science, having authored 34 papers that have together received 412 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (9 papers), Machine Learning in Bioinformatics (5 papers), Cooperative Communication and Network Coding (5 papers), Advanced Wireless Network Optimization (5 papers), Proteins in Food Systems (3 papers), Advanced Battery Technologies Research (2 papers), Microencapsulation and Drying Processes (2 papers) and Multilevel Inverters and Converters (2 papers). The work is most often cited by research in Animal Science and Zoology (57 citations), Molecular Biology (255 citations), Food Science (60 citations), Microbiology (18 citations) and Clinical Biochemistry (8 citations). Pingping Wen has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Shaoping Shi, Jian‐Ding Qiu, Haodong Xu, Chao Xia, Yijing Chen, Lina Wang, Lina Wang, Lin Yang, Man Cao and Jun Wang. Their work appears in journals such as Bioinformatics, Journal of Chemical Information and Modeling, Ultrasonics Sonochemistry, PROTEOMICS and Molecular BioSystems.

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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