Kevin Han

84 papers receiving 3.1k citations

Hit Papers

CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling 2023 · 444 citations
4442016202620192022100200300400

Peers

Kevin Han
Comparison fields: 5 of 150
  • Geology 994
  • Radiological and Ultrasound Technology 572
  • Building and Construction 951
  • Medical Laboratory Technology 57
  • Human-Computer Interaction 195
Replace Chansik Park with:
Chansik Park South Korea
Yang Zou China
Jing Du United States
Jinwoo Kim South Korea
Leonhard E. Bernold United States
Homayoun Najjaran Canada
Marina Paolanti Italy
Weiwei Wu China
Yongsheng Ma Canada
Robert Bogue United States
Kevin Han relative to Chansik Park South Korea Chansik Park's profile →
Citations per field
00.5×2.9×
Chansik Park · 1×
Citations per year

Countries citing papers authored by Kevin Han

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20250
5 20250
6 20241
7 20241
8 20244
9 20243
10 20241
11 20243
12 20246
13 20245
14 20241
15
CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling
Hit paper breakdown →
2023444
16 202219
17 202212
18 20223
19 202015
20 2020123

About Kevin Han

Kevin Han is a scholar working on Computational Mathematics, Geology, Space and Planetary Science, Radiological and Ultrasound Technology and Building and Construction, having authored 94 papers that have together received 3.2k indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (34 papers), BIM and Construction Integration (25 papers), Infrastructure Maintenance and Monitoring (22 papers), Occupational Health and Safety Research (11 papers), Human-Automation Interaction and Safety (7 papers), Remote Sensing and LiDAR Applications (7 papers), Robotics and Sensor-Based Localization (7 papers) and Safety Warnings and Signage (6 papers). The work is most often cited by research in Geology (994 citations), Radiological and Ultrasound Technology (572 citations), Building and Construction (951 citations), Medical Laboratory Technology (57 citations) and Human-Computer Interaction (195 citations). Kevin Han has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Mani Golparvar‐Fard, Alex Albert, Mojtaba Noghabaei, Idris Jeelani, Jacob J. Lin, Khashayar Asadi, Youngjib Ham, Christopher J. Bartel, Janosh Riebesell and Peichen Zhong. Their work appears in journals such as Automation in Construction, Journal of Construction Engineering and Management, Journal of Computing in Civil Engineering, Journal of Biomedical Optics 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026