Min‐Hong Han

18 papers receiving 481 citations

Peers

Min‐Hong Han
Comparison fields: 5 of 39
  • Industrial and Manufacturing Engineering 329
  • Computer Vision and Pattern Recognition 145
  • Computer Networks and Communications 132
  • Electrical and Electronic Engineering 71
  • Building and Construction 52
Replace Emmanuel Oyekanlu with:
Emmanuel Oyekanlu United States
Ho-Jae Lee South Korea
Sahar Trigui Saudi Arabia
Cédric Adjih France
Aydın Sipahioğlu Türkiye
Elad H. Kivelevitch United States
Yao Du China
Jinkai Zheng China
Aliakbar Akbari Spain
Min‐Hong Han relative to Emmanuel Oyekanlu United States Emmanuel Oyekanlu's profile →
Citations per field
00.5×10×20×26×
Emmanuel Oyekanlu · 1×
Citations per year

Countries citing papers authored by Min‐Hong Han

Since Specialization
Citations

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

Fields of papers citing papers by Min‐Hong Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min‐Hong Han

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 64
3
Development of a Vision-based Lane Change Assistance System for Safe Driving
1
4 0
5
Speed adaptation system for vehicles using RF communication
1
6 4
7 20
8 16
9 18
10 71
11 18
12 20
13 51
14 37
15 9
16 6
17 2
18
Recognition of Partially Occluded Objects Using Maximum Curvature Points
0
19 9
20 164

About Min‐Hong Han

Min‐Hong Han is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 518 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (8 papers), Advanced Manufacturing and Logistics Optimization (8 papers) and Assembly Line Balancing Optimization (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (329 citations), Computer Vision and Pattern Recognition (145 citations) and Computer Networks and Communications (132 citations). Min‐Hong Han has collaborated with scholars based in United States and South Korea. Frequent co-authors include Leon F. McGinnis, John A. White, Byung‐Gook Kim, Jang-Won Lee, Gary L. Hogg, Bhaba R. Sarker, Sang‐Yong Rhee, Wilbert E. Wilhelm, Tapas K. Das and Dong-Min Lee. Their work appears in journals such as European Journal of Operational Research, Pattern Recognition and International Journal of Production Research.

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