Haichen Wang

699 citations
13 papers · 434 · h-index 6

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Traumatic Brain Injury and Neurovascular Disturbances
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Haichen Wang

12 papers receiving 430 citations

Peers

Haichen Wang
Comparison fields: 5 of 83
  • Neurology 91
  • Cancer Research 150
  • Developmental Neuroscience 17
  • Neurology 57
  • Molecular Biology 254
Replace Qingguang Wang with:
Qingguang Wang China
Jianhua Zhong China
Hai Chen China
Ruizhe Zheng China
Jiun‐Lin Yan Taiwan
Y. Tsuchihashi Japan
Philippe Comtois Canada
Jiann‐Torng Chen Taiwan
Shunian Xiang United States
Liyuan Cui China
Haichen Wang relative to Qingguang Wang China Qingguang Wang's profile →
Citations per field
00.5×2.7×
Qingguang Wang · 1×
Citations per year

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-authors

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

All Works

13 of 13 papers shown
#Work
1 2017364
2 202416
3 201415
4 202310
5 20199
6 20209
7 20235
8 20102
9 20251
10 20101
11
Discovery of A New Boson in the Search for A Standard Model Higgs Boson in the Diphoton Final State with the ATLAS Detector
20141
12 20141
13 20150

About Haichen Wang

Haichen Wang is a scholar working on Nuclear and High Energy Physics, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Signal Processing, having authored 13 papers that have together received 434 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (6 papers), High-Energy Particle Collisions Research (4 papers), Robotics and Sensor-Based Localization (2 papers), Quantum Chromodynamics and Particle Interactions (2 papers), Robotic Path Planning Algorithms (2 papers), Software Testing and Debugging Techniques (2 papers), Particle Detector Development and Performance (2 papers) and Advanced Malware Detection Techniques (2 papers). The work is most often cited by research in Neurology (91 citations), Cancer Research (150 citations), Developmental Neuroscience (17 citations), Neurology (57 citations) and Molecular Biology (254 citations). Haichen Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Fanglian Chen, Zhaoli Han, Ying Li, Zhenyu Yin, Shan Huang, Jinwen Yu, Jianning Zhang, Xintong Ge, Ping Lei and X. Ju. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, The European Physical Journal C, Journal of Instrumentation, Science China Physics Mechanics and Astronomy and Sensors.

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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