Kun Huang

3.0k citations
161 papers · 2.5k indexed · h-index 30

Kun Huang

153 papers receiving 2.5k citations

Peers

Kun Huang
Comparison fields: 5 of 130
  • Filtration and Separation 187
  • Industrial and Manufacturing Engineering 325
  • Analytical Chemistry 321
  • Inorganic Chemistry 384
  • Catalysis 190
Replace Tatsuya Oshima with:
Tatsuya Oshima Japan
Matthias Franzreb Germany
João Paulo Leal Portugal
Harekrushna Sahoo India
Amir Abbas Rafati Iran
Jinguang Wu China
Allan F. M. Barton Australia
Ting Wang China
Al Steyermark United States
Yong‐Liang Yu China
Kun Huang relative to Tatsuya Oshima Japan Tatsuya Oshima's profile →
Citations per field
00.5×
Tatsuya Oshima · 1×
Citations per year

Countries citing papers authored by Kun Huang

Since Specialization
Citations

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

Fields of papers citing papers by Kun Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20250
5 20247
6 20241
7 20240
8 20240
9 20231
10 202326
11 20235
12 20235
13 20193
14
The design of sports system for improving the explosive force of the lower limbs
20171
15 20165
16 201412
17 20141
18 201387
19
A Regular Expression Matching Algorithm with Smart Finite Automaton
20123
20
Multi-source Information Fusion Method Based on Rough Sets Theory and Evidence Theory
20041

About Kun Huang

Kun Huang is a scholar working on Filtration and Separation, Inorganic Chemistry and Analytical Chemistry, having authored 161 papers that have together received 2.5k indexed citations. Recurring topics across this work include Extraction and Separation Processes (64 papers), Chemical and Physical Properties in Aqueous Solutions (26 papers), Radioactive element chemistry and processing (25 papers), Minerals Flotation and Separation Techniques (18 papers), Metal Extraction and Bioleaching (16 papers), Spectroscopy and Quantum Chemical Studies (15 papers), Analytical Chemistry and Chromatography (12 papers) and Crystallization and Solubility Studies (12 papers). The work is most often cited by research in Filtration and Separation (187 citations), Industrial and Manufacturing Engineering (325 citations) and Analytical Chemistry (321 citations). Kun Huang has collaborated with scholars based in China, United States and Puerto Rico. Frequent co-authors include Huizhou Liu, Angel E. Garcı́a, Jing Chen, Pan Sun, Pinhua Yu, Na Sui, Keng Xie, Margarita Ortiz‐Marciales, Yizhuang Xu and Melvin De Jesús. Their work appears in journals such as The Journal of Chemical Physics, Applied Physics Letters and Advanced Functional Materials.

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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