Ce Li

4.6k citations
183 papers · 2k · 1 hit paper · h-index 22

Impact in

Papers in

Ce Li

170 papers receiving 2k citations

Ce Li's Hit Papers

Relaxor Antiferroelectric Dynamics for Neuromorphic Computing 2025 · 51 citations
510Years since publication1020304050

Peers

Ce Li
Comparison fields: 5 of 116
  • Computer Vision and Pattern Recognition 672
  • Signal Processing 155
  • Artificial Intelligence 305
  • Electrical and Electronic Engineering 346
  • Radiological and Ultrasound Technology 19
Replace Jaakko J. Sauvola with:
Jaakko J. Sauvola Finland
Fan Zhang China
Hongjun Wang China
Zhihong Deng China
Lili Guo China
Xin Liao China
Meiling Xu China
Jan Nedoma Czechia
Ke Wang China
Ming Liu China
Ce Li relative to Jaakko J. Sauvola Finland Jaakko J. Sauvola's profile →
Citations per field
00.5×2×4×6.3×
Jaakko J. Sauvola · 1×
Citations per year

Countries citing papers authored by Ce Li

Since Specialization
Citations

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

Fields of papers citing papers by Ce Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 183 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018129
2 202296
3 202490
4 201689
5 202282
6 202278
7 202277
8 201668
9 202262
10 201851
11 202051
12
Relaxor Antiferroelectric Dynamics for Neuromorphic Computing
Hit paper breakdown →
202551
13 201748
14 202348
15 202241
16 202040
17 202139
18 201137
19 201134
20 201623

About Ce Li

Ce Li is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Mechanics of Materials and Computational Mechanics, having authored 183 papers that have together received 2k indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (11 papers), Advanced Memory and Neural Computing (10 papers), 3D Shape Modeling and Analysis (9 papers), Advanced Neural Network Applications (9 papers), Ultrasonics and Acoustic Wave Propagation (9 papers), Image Enhancement Techniques (7 papers), VLSI and FPGA Design Techniques (6 papers) and Video Surveillance and Tracking Methods (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (672 citations), Signal Processing (155 citations), Artificial Intelligence (305 citations), Electrical and Electronic Engineering (346 citations) and Radiological and Ultrasound Technology (19 citations). Ce Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Tian Wang, Limei Xiao, Shaoyi Du, Zhiqiang Tian, Hichem Snoussi, Nanning Zheng, Linfeng Sun, Dongliang Yang, Meina Qiao and Qiujian Lv. Their work appears in journals such as Neurocomputing, Multimedia Tools and Applications, Sensors, IEEE Transactions on Neural Networks and Learning Systems and IEEE Access.

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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