Kun Hua

738 citations
60 papers · 473 · h-index 10

Impact in

Papers in

Kun Hua

50 papers receiving 450 citations

Peers

Kun Hua
Comparison fields: 5 of 69
  • Computer Networks and Communications 195
  • Artificial Intelligence 136
  • Media Technology 35
  • Information Systems 77
  • Computer Science Applications 17
Replace Jiankang Ren with:
Jiankang Ren China
Muhammad Ikram Ashraf Finland
Saraswathy Shamini Gunasekaran Malaysia
Yutong Zhou China
Sejun Song United States
Young-Sung Son South Korea
Marcus Handte Germany
V. R. Sarma Dhulipala India
Haichuan Ding China
Kun Hua relative to Jiankang Ren China Jiankang Ren's profile →
Citations per field
00.5×1.5×
Jiankang Ren · 1×
Citations per year

Countries citing papers authored by Kun Hua

Since Specialization
Citations

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

Fields of papers citing papers by Kun Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202187
2 201964
3 201936
4 201433
5 202332
6 201529
7 202120
8 201513
9 202412
10 201411
11 20109
12 20168
13 20178
14 20088
15 20217
16 20106
17 20246
18 20155
19 20105
20 20115

About Kun Hua

Kun Hua is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Biomedical Engineering and Cardiology and Cardiovascular Medicine, having authored 60 papers that have together received 473 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (12 papers), Vehicular Ad Hoc Networks (VANETs) (9 papers), Advanced MIMO Systems Optimization (9 papers), Advanced Wireless Communication Techniques (8 papers), Wireless Body Area Networks (7 papers), Mobile Ad Hoc Networks (6 papers), ECG Monitoring and Analysis (6 papers) and IoT and Edge/Fog Computing (5 papers). The work is most often cited by research in Computer Networks and Communications (195 citations), Artificial Intelligence (136 citations), Media Technology (35 citations), Information Systems (77 citations) and Computer Science Applications (17 citations). Kun Hua has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Yang Yang, Wei Yu, Honggang Wang, Weixian Liao, Chao Lu, Tong Shen, Hansong Xu, Wei Wang, Tigang Jiang and Zhang Li. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Access, Digital Communications and Networks, Electronics Letters and International Journal of Advancements in Computing Technology.

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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