Haolei Chen

744 citations
13 papers · 285 · h-index 5

Impact in

Papers in

    • Radiation Detection and Scintillator Technologies 6
    • Nuclear Physics and Applications 4
    • Particle Detector Development and Performance 6
    • Dark Matter and Cosmic Phenomena 1

Haolei Chen

10 papers receiving 282 citations

Peers

Haolei Chen
Comparison fields: 5 of 50
  • Management Science and Operations Research 124
  • Finance 65
  • Ocean Engineering 43
  • Computer Vision and Pattern Recognition 53
  • Artificial Intelligence 82
Replace Claus Aranha with:
Claus Aranha Japan
Haoyu Zhang China
Rui Fang China
Bart P. G. Van Parys United States
Zhenda Hu China
Zhen Pan China
Soroosh Shafieezadeh-Abadeh Switzerland
Jiadong Guo China
Oscar Dowson United States
Haolei Chen relative to Claus Aranha Japan Claus Aranha's profile →
Citations per field
00.5×1.5×2.4×
Claus Aranha · 1×
Citations per year

Countries citing papers authored by Haolei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Haolei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2020153
2 2020114
3 20254
4 20194
5 20234
6
Application Research of Chaotic Binary Particle Swarm Optimization Algorithm in Dynamic Spectrum Allocation
20202
7 20221
8 20191
9 20181
10 20191
11 20240
12 20100
13 20210

About Haolei Chen

Haolei Chen is a scholar working on Radiation, Nuclear and High Energy Physics, Electrical and Electronic Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 285 indexed citations. Recurring topics across this work include Radiation Detection and Scintillator Technologies (6 papers), Particle Detector Development and Performance (6 papers), Nuclear Physics and Applications (4 papers), Advanced Algorithms and Applications (2 papers), Advanced Battery Materials and Technologies (1 paper), Advanced Battery Technologies Research (1 paper), Dark Matter and Cosmic Phenomena (1 paper) and Advanced DC-DC Converters (1 paper). The work is most often cited by research in Management Science and Operations Research (124 citations), Finance (65 citations), Ocean Engineering (43 citations), Computer Vision and Pattern Recognition (53 citations) and Artificial Intelligence (82 citations). Haolei Chen has collaborated with scholars based in China, Vietnam and Japan. Frequent co-authors include Xing Wu, Hamido Fujita, Vincenzo Loia, Jianjia Wang, Luigi Troiano, Mingyu Zhong, Shaorong Xie, Yike Guo, Hua Zhang and Shubin Liu. Their work appears in journals such as Knowledge-Based Systems, Information Sciences, Energy storage materials, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and IEEE Transactions on Nuclear Science.

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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