Peipei Wang

660 citations
38 papers · 439 · h-index 11

Impact in

  • Software top 10%
    • Cloud Computing and Resource Management
    • Recommender Systems and Techniques
    • Software Engineering Research

Papers in

    • Topic Modeling 6
    • Advanced Graph Neural Networks 5
    • Domain Adaptation and Few-Shot Learning 3
    • Cloud Computing and Resource Management 6
    • Recommender Systems and Techniques 5
    • Software Engineering Research 4

Peipei Wang

36 papers receiving 408 citations

Peers

Peipei Wang
Comparison fields: 5 of 76
  • Software 38
  • Information Systems 183
  • Computer Networks and Communications 149
  • Artificial Intelligence 187
  • Industrial and Manufacturing Engineering 53
Replace Boqin Feng with:
Boqin Feng China
Graeme Gange Australia
Abha Moitra United States
Dana Nau United States
Luay Alawneh Jordan
Seyed Morteza Babamir Iran
Rajeev Kumar India
Peter Grogono Canada
Qingshan Li China
Peipei Wang relative to Boqin Feng China Boqin Feng's profile →
Citations per field
00.5×4.1×
Boqin Feng · 1×
Citations per year

Countries citing papers authored by Peipei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Peipei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200598
2 200675
3 200648
4 202233
5 202327
6 201819
7 202117
8 201617
9 201215
10 202013
11 201511
12 20219
13 20226
14 20095
15 20224
16 20174
17 20224
18 20214
19 20183
20 20203

About Peipei Wang

Peipei Wang is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 38 papers that have together received 439 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (6 papers), Topic Modeling (6 papers), Recommender Systems and Techniques (5 papers), Advanced Graph Neural Networks (5 papers), Software Engineering Research (4 papers), Complex Network Analysis Techniques (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Software Testing and Debugging Techniques (3 papers). The work is most often cited by research in Software (38 citations), Information Systems (183 citations), Computer Networks and Communications (149 citations), Artificial Intelligence (187 citations) and Industrial and Manufacturing Engineering (53 citations). Peipei Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Peng-Yeng Yin, Lin Li, Ru Wang, Xiaohui Tao, Kathryn T. Stolee, Peiyu Liu, Xiaohui Gu, Qing Xie, Juan D. Velásquez and Rongquan Feng. Their work appears in journals such as Information Processing & Management, Neurocomputing, International Journal of Approximate Reasoning, Frontiers in Psychiatry and Education and Information Technologies.

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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