Danjun Huang

742 citations
31 papers · 608 · h-index 11

Impact in

Papers in

Danjun Huang

28 papers receiving 601 citations

Peers

Danjun Huang
Comparison fields: 5 of 38
  • Computational Theory and Mathematics 218
  • Electrochemistry 65
  • Renewable Energy, Sustainability and the Environment 136
  • Materials Chemistry 279
  • Bioengineering 31
Replace Hua Gao with:
Hua Gao China
Nicholas H. Angello United States
Sayan Banerjee United States
Keiichi Komatsu Japan
Charuksha Walgama United States
Xiaojing Feng China
Hasan Pişkin Türkiye
Ruirui Xie China
Yuchen He China
Gihan Panapitiya United States
Danjun Huang relative to Hua Gao China Hua Gao's profile →
Citations per field
00.5×3.8×
Hua Gao · 1×
Citations per year

Countries citing papers authored by Danjun Huang

Since Specialization
Citations

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

Fields of papers citing papers by Danjun Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Danjun Huang, 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 Danjun Huang Line = papers co-authored together Danjun Huang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012301
2 201147
3 201239
4 201231
5 201330
6 201223
7 201523
8 201219
9 201318
10 201216
11 201513
12 20137
13 20145
14 20185
15 20124
16 20154
17 20124
18 20183
19 20203
20 20202

About Danjun Huang

Danjun Huang is a scholar working on Computational Theory and Mathematics, Electrical and Electronic Engineering, Materials Chemistry, Computer Graphics and Computer-Aided Design and Computer Networks and Communications, having authored 31 papers that have together received 608 indexed citations. Recurring topics across this work include Graph Labeling and Dimension Problems (22 papers), Advanced Graph Theory Research (13 papers), graph theory and CDMA systems (8 papers), Photochromic and Fluorescence Chemistry (4 papers), Computational Geometry and Mesh Generation (3 papers), Interconnection Networks and Systems (2 papers), Limits and Structures in Graph Theory (2 papers) and Gas Sensing Nanomaterials and Sensors (2 papers). The work is most often cited by research in Computational Theory and Mathematics (218 citations), Electrochemistry (65 citations), Renewable Energy, Sustainability and the Environment (136 citations), Materials Chemistry (279 citations) and Bioengineering (31 citations). Danjun Huang has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Weifan Wang, Yuwu Chi, Lichan Chen, Guonan Chen, Weifan Wang, Mirko Horňák, Jianliang Wu, Wai Chee Shiu, Guanghui Wang and Yuanjin Zhang. Their work appears in journals such as Journal of Combinatorial Optimization, Discrete Mathematics, Discrete Applied Mathematics, The Analyst and Applied Mathematics and Computation.

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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