Henry Han

2.2k citations
83 papers · 1.4k · h-index 19

Impact in

Papers in

Henry Han

72 papers receiving 1.4k citations

Peers

Henry Han
Comparison fields: 5 of 171
  • Health Informatics 25
  • Artificial Intelligence 418
  • Computational Theory and Mathematics 164
  • Cancer Research 105
  • Management Science and Operations Research 76
Replace Saurav Mallik with:
Saurav Mallik India
Lan Huang China
Shailesh Tripathi Austria
Meelis Kull Estonia
José Manuel Jerez Aragonés Spain
Jiawei Luo China
Marco Salvatore Nobile Italy
Borja Calvo Spain
Renchu Guan China
Yong Qi Liang China
Henry Han relative to Saurav Mallik India Saurav Mallik's profile →
Citations per field
00.5×1.5×1.8×
Saurav Mallik · 1×
Citations per year

Countries citing papers authored by Henry Han

Since Specialization
Citations

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

Fields of papers citing papers by Henry Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011161
2 2021137
3 2017137
4 2014114
5 201971
6 202071
7 202256
8 202256
9 202137
10 202235
11 201029
12 201827
13 202025
14 202522
15 201922
16 201922
17 201822
18 202022
19 202322
20 202318

About Henry Han

Henry Han is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Finance, Management Science and Operations Research and Molecular Biology, having authored 83 papers that have together received 1.4k indexed citations. Recurring topics across this work include Gene expression and cancer classification (15 papers), Advanced Multi-Objective Optimization Algorithms (10 papers), Metaheuristic Optimization Algorithms Research (10 papers), Bioinformatics and Genomic Networks (8 papers), Stock Market Forecasting Methods (7 papers), Financial Markets and Investment Strategies (7 papers), Evolutionary Algorithms and Applications (6 papers) and Complex Systems and Time Series Analysis (5 papers). The work is most often cited by research in Health Informatics (25 citations), Artificial Intelligence (418 citations), Computational Theory and Mathematics (164 citations), Cancer Research (105 citations) and Management Science and Operations Research (76 citations). Henry Han has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Xiaoli Li, Fei Han, Qing-Hua Ling, Xiaoqian Jiang, Wentian Li, Jane E. Cerise, Yaning Yang, Wenbin Liu, Jing Jiang and Jiacun Wang. Their work appears in journals such as Neurocomputing, IEEE Access, BMC Bioinformatics, Swarm and Evolutionary Computation and Expert Systems with Applications.

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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