Pengfei Xuan

1.3k citations
8 papers · 85 indexed · h-index 5
Topics
Distributed and Parallel Computing Systems (3 papers)Advanced Data Storage Technologies (3 papers)Scientific Computing and Data Management (3 papers)
Partner nations
United StatesChina

In The Last Decade

Pengfei Xuan

8 papers receiving 82 citations

Peers

Pengfei Xuan
Comparison fields: 5 of 48
  • Information Systems 23
  • Computer Networks and Communications 22
  • Molecular Biology 21
  • Organic Chemistry 15
  • Information Systems and Management 14
Replace Hurng-Chun Lee with:
Hurng-Chun Lee Taiwan
Francesco Di Natale United States
Minsoo Kim South Korea
Bernardo David Denmark
Edgars Celms Latvia
Kshitij Mehta United States
Marco Capuccini Sweden
Damien Graux Germany
Andreas Seibel Germany
Stijn Heymans Austria
Pengfei Xuan relative to Hurng-Chun Lee Taiwan Hurng-Chun Lee's profile →
Citations per field
00.5×4.5×
Hurng-Chun Lee · 1×
Citations per year

Countries citing papers authored by Pengfei Xuan

Since Specialization
Citations

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

Fields of papers citing papers by Pengfei Xuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengfei Xuan

This figure shows the co-authorship network connecting the top 25 collaborators of Pengfei Xuan. A scholar is included among the top collaborators of Pengfei Xuan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pengfei Xuan. Pengfei Xuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 3
2 14
3 4
4 28
5 9
6 2
7
An Infrastructure to Support Data Integration and Curation for Higher Educational Research
6
8 19

About Pengfei Xuan

Pengfei Xuan is a scholar working on Information Systems and Management, Information Systems and Computer Networks and Communications, having authored 8 papers that have together received 85 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (3 papers), Advanced Data Storage Technologies (3 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Information Systems and Management (14 citations), Information Systems (23 citations) and Computer Networks and Communications (22 citations). Pengfei Xuan has collaborated with scholars based in United States and China. Frequent co-authors include Feng Luo, Onur G. Apul, Tanju Karanfil, Xiu‐Feng Wan, Tzuen‐Rong Tzeng, Yuehua Zhang, Rong Ge, Pradip K. Srimani, W.B. Ligon and Amy Apon. Their work appears in journals such as RSC Advances, Glycobiology and Parallel Computing.

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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