Pingping Wen

673 citations
35 papers · 468 · 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

30 papers receiving 456 citations

Peers

Pingping Wen
Comparison fields: 5 of 85
  • Animal Science and Zoology 58
  • Molecular Biology 263
  • Food Science 66
  • Microbiology 18
  • Clinical Biochemistry 10
Replace Zhiyu Shi with:
Zhiyu Shi China
Hao Yue China
Vanessa Petit France
Xueru Zhang China
Povilas Šimonis Lithuania
Weimin Shi China
Peter Schmitt United States
Susanne Wrang Bruun Denmark
Huiyu Wang China
Pingping Wen relative to Zhiyu Shi China Zhiyu Shi's profile →
Citations per field
00.5×2×3×3.7×
Zhiyu Shi · 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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201558
2 201657
3 202152
4 201651
5 202246
6 202434
7 201832
8 201116
9 201812
10 202211
11 201511
12 201811
13 20238
14 20208
15 20238
16 20178
17 20187
18 20237
19 20245
20 20105

About Pingping Wen

Pingping Wen is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Energy Engineering and Power Technology, Control and Systems Engineering and Food Science, having authored 35 papers that have together received 468 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (8 papers), Machine Learning in Bioinformatics (5 papers), Advanced Wireless Network Optimization (5 papers), Cooperative Communication and Network Coding (4 papers), Proteins in Food Systems (3 papers), Multilevel Inverters and Converters (2 papers), Advanced Battery Technologies Research (2 papers) and Meat and Animal Product Quality (2 papers). The work is most often cited by research in Animal Science and Zoology (58 citations), Molecular Biology (263 citations), Food Science (66 citations), Microbiology (18 citations) and Clinical Biochemistry (10 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, Huiqing Xu, Yijing Chen, Lina Wang, Lina Wang, Man Cao and Jun Wang. Their work appears in journals such as Bioinformatics, Journal of Chemical Information and Modeling, Journal of Food Protection, The Journal of Physical Chemistry C and Food Chemistry.

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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