Pengfei Li

1.8k total citations
76 papers, 1.1k citations indexed

About

Pengfei Li is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Pengfei Li has authored 76 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 17 papers in Information Systems and 16 papers in Signal Processing. Recurrent topics in Pengfei Li's work include Atmospheric chemistry and aerosols (9 papers), Data Management and Algorithms (9 papers) and Air Quality and Health Impacts (8 papers). Pengfei Li is often cited by papers focused on Atmospheric chemistry and aerosols (9 papers), Data Management and Algorithms (9 papers) and Air Quality and Health Impacts (8 papers). Pengfei Li collaborates with scholars based in China, United States and Denmark. Pengfei Li's co-authors include Shaocai Yu, Weiping Liu, Gang Pan, Si Wang, Hua Lu, Renchang Yan, N. W. Reay, Khalid Mehmood, Lei Bao and Yang Long and has published in prestigious journals such as Journal of the American Statistical Association, The Science of The Total Environment and Journal of Agricultural and Food Chemistry.

In The Last Decade

Pengfei Li

71 papers receiving 1.0k citations

Peers

Pengfei Li
Comparison fields: 5 of 140
  • Health, Toxicology and Mutagenesis 276
  • Atmospheric Science 240
  • Computer Networks and Communications 182
  • Information Systems 175
  • Artificial Intelligence 167
Replace Hsun-Ping Hsieh with:
Hsun-Ping Hsieh Taiwan
Yanyan Yang United Kingdom
Wenjun Wu China
Wayan Suparta Malaysia
Maitreyee Dutta India
Pengfei Chen China
Hongbing Cheng China
Hai Xiang Lin Netherlands
Muhammad Aslam Pakistan
Hsun-Ping Hsieh Taiwan View profile →
Citations per field, relative to Pengfei Li
Pengfei Li · 1×
Citations per year, relative to Pengfei Li
Pengfei Li · 1×

Countries citing papers authored by Pengfei Li

Since Specialization
Citations

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

Fields of papers citing papers by Pengfei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengfei Li

This figure shows the co-authorship network connecting the top 25 collaborators of Pengfei Li. A scholar is included among the top collaborators of Pengfei Li 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 Li. Pengfei Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 11
4 1
5 2
6 2
7 13
8 7
9 7
10 1
11 83
12 1
13 19
14 29
15 57
16 37
17 6
18
A Novel Gaussian Mixture PHD Filter for Nonlinear Models
2
19 7
20 1

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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