Haichen Wang

104 total papers · 731 total citations
13 papers, 412 citations indexed

About

Haichen Wang is a scholar working on Nuclear and High Energy Physics, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Haichen Wang has authored 13 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nuclear and High Energy Physics, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Haichen Wang's work include Particle physics theoretical and experimental studies (6 papers), High-Energy Particle Collisions Research (4 papers) and Robotic Path Planning Algorithms (2 papers). Haichen Wang is often cited by papers focused on Particle physics theoretical and experimental studies (6 papers), High-Energy Particle Collisions Research (4 papers) and Robotic Path Planning Algorithms (2 papers). Haichen Wang collaborates with scholars based in China, United States and Canada. Haichen Wang's co-authors include Shan Huang, Jianning Zhang, Ying Li, Fanglian Chen, Zhaoli Han, Ping Lei, Xintong Ge, Zhenyu Yin, Jinwen Yu and S. Han and has published in prestigious journals such as The FASEB Journal, Sensors and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

Haichen Wang

10 papers receiving 410 citations

Hit Papers

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Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Haichen Wang 265 160 95 59 36 13 412
Zhen Zeng 231 0.9× 112 0.7× 23 0.2× 10 0.2× 46 1.3× 22 400
Mengtian Guo 346 1.3× 173 1.1× 75 0.8× 60 1.0× 48 1.3× 14 467
Rui Zhu 248 0.9× 109 0.7× 111 1.2× 31 0.5× 37 1.0× 18 373
Hongrong Zhang 242 0.9× 156 1.0× 72 0.8× 123 2.1× 35 1.0× 11 386
Donghui Liang 289 1.1× 139 0.9× 105 1.1× 26 0.4× 52 1.4× 11 468
PhilipV Peplow 258 1.0× 186 1.2× 59 0.6× 55 0.9× 23 0.6× 14 433
Xiaoyin Lai 310 1.2× 196 1.2× 98 1.0× 33 0.6× 36 1.0× 10 403
Liang Fan 281 1.1× 133 0.8× 32 0.3× 52 0.9× 36 1.0× 14 451
Jingfang Ye 124 0.5× 22 0.1× 68 0.7× 16 0.3× 36 1.0× 19 480
Lauren D. Moss 262 1.0× 128 0.8× 105 1.1× 72 1.2× 88 2.4× 12 494

Countries citing papers authored by Haichen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Haichen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haichen Wang

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

All Works

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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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