Pingping Wen

608 citations
33 papers · 390 · h-index 10

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

28 papers receiving 378 citations

Peers

Pingping Wen
Comparison fields: 5 of 75
  • Animal Science and Zoology 58
  • Molecular Biology 252
  • Food Science 55
  • Microbiology 18
  • Clinical Biochemistry 11
Replace Weiqiang Cheng with:
Weiqiang Cheng United States
Ming Fang China
Joachim Nielandt Belgium
Mónica Rosas‐Lemus United States
Yafei Zhai China
Vanessa Petit France
Patrick F. Suthers United States
LeAnna N. Willison United States
Susanne W. Bruun Denmark
Zhihong Xiao China
Pingping Wen relative to Weiqiang Cheng United States Weiqiang Cheng's profile →
Citations per field
00.5×6.4×
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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201556
2 201655
3 201648
4 202141
5 202239
6 201830
7 201114
8 201812
9 201811
10 201510
11 20229
12 20208
13 20178
14 20187
15 20236
16 20245
17 20235
18 20174
19 20104
20 20074

About Pingping Wen

Pingping Wen is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Computer Networks and Communications, Control and Systems Engineering and Animal Science and Zoology, having authored 33 papers that have together received 390 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (9 papers), Advanced Wireless Network Optimization (5 papers), Cooperative Communication and Network Coding (5 papers), Machine Learning in Bioinformatics (5 papers), Proteins in Food Systems (3 papers), Meat and Animal Product Quality (3 papers), Genomics and Phylogenetic Studies (2 papers) and Advanced Battery Technologies Research (2 papers). The work is most often cited by research in Animal Science and Zoology (58 citations), Molecular Biology (252 citations), Food Science (55 citations), Microbiology (18 citations) and Clinical Biochemistry (11 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, Man Cao, Lin Yang and Jun Wang. Their work appears in journals such as Bioinformatics, Journal of Chemical Information and Modeling, RSC Advances, Food Chemistry and Journal of Food Protection.

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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