An-Ping Li

557 citations
28 papers · 440 · h-index 8

Impact in

Papers in

An-Ping Li

26 papers receiving 408 citations

Peers

An-Ping Li
Comparison fields: 5 of 96
  • Biochemistry 119
  • Pharmacology 52
  • Food Science 92
  • Plant Science 170
  • Complementary and alternative medicine 37
Replace Mingchui Dong with:
Mingchui Dong Macao
Rüya Şamlı Türkiye
Xuetao Chen China
Gagandeep Kaur India
K. P. Sharmila India
Salma Khanam India
R. Udayakumar India
Jaecheol Kim South Korea
Ayumi Shinohara Japan
Haiyan Yang China
An-Ping Li relative to Mingchui Dong Macao Mingchui Dong's profile →
Citations per field
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Citations per year

Countries citing papers authored by An-Ping Li

Since Specialization
Citations

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

Fields of papers citing papers by An-Ping Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007244
2 202034
3 201725
4 201722
5 202020
6 202213
7 200612
8 20178
9
Particle filter based visual tracking with multi-cue adaptive fusion
20057
10 19946
11 20066
12 20226
13 20176
14
Target tracking in glint noise using a MCMC particle filter
20056
15 20065
16
Synchronization of uncertain fractional-order chaotic system using fractional-order system with different order and parameters identification
20134
17 19973
18 20203
19
Studies on Decomposition Properties of Cement Raw Meal in Simulated Precalciner.
19952
20 20252

About An-Ping Li

An-Ping Li is a scholar working on Computer Networks and Communications, Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 28 papers that have together received 440 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (5 papers), Distributed Control Multi-Agent Systems (4 papers), Video Surveillance and Tracking Methods (3 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Wireless Signal Modulation Classification (2 papers), Bioactive natural compounds (2 papers), Face recognition and analysis (2 papers) and Infrared Target Detection Methodologies (2 papers). The work is most often cited by research in Biochemistry (119 citations), Pharmacology (52 citations), Food Science (92 citations), Plant Science (170 citations) and Complementary and alternative medicine (37 citations). An-Ping Li has collaborated with scholars based in China, Taiwan and Kazakhstan. Frequent co-authors include Tran Dang Xuan, Abdelnaser A. Elzaawely, Changwei Ao, Shinkichi Tawata, Yiping Luo, Jinde Cao, Zhongliang Jing, Guorong Liu, Shiqiang Hu and Xiaoliang Yang. Their work appears in journals such as IEEE Transactions on Automation Science and Engineering, Energies, Journal of Food and Drug Analysis, Information Sciences and Neurocomputing.

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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