Kun-Mean Hou

425 citations
29 papers · 329 · h-index 10

Impact in

Papers in

Kun-Mean Hou

29 papers receiving 311 citations

Peers

Kun-Mean Hou
Comparison fields: 5 of 72
  • Computer Networks and Communications 147
  • Transportation 19
  • Cardiology and Cardiovascular Medicine 50
  • Cognitive Neuroscience 45
  • Human-Computer Interaction 14
Replace Christophe de Vaulx with:
Christophe de Vaulx France
Dhanashri H. Gawali India
Jian‐Jin Li France
Atul R. Deshmukh India
Vineeth Vijayaraghavan India
Rambabu Vatti India
Sanjay S. Dorle India
Prakasam Periasamy India
Asim Dilawar Bakhshi Pakistan
Ganesh S. Khekare India
Kun-Mean Hou relative to Christophe de Vaulx France Christophe de Vaulx's profile →
Citations per field
00.5×2×3×3.8×
Christophe de Vaulx · 1×
Citations per year

Countries citing papers authored by Kun-Mean Hou

Since Specialization
Citations

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

Fields of papers citing papers by Kun-Mean Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201557
2 201238
3 201135
4 202028
5 200822
6 201419
7 201217
8 201113
9 200912
10 201711
11 200810
12 20079
13 20178
14 20107
15 20026
16 20194
17 20064
18 20173
19 20073
20 20113

About Kun-Mean Hou

Kun-Mean Hou is a scholar working on Computer Networks and Communications, Hardware and Architecture, Cardiology and Cardiovascular Medicine, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 329 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (10 papers), Real-Time Systems Scheduling (7 papers), ECG Monitoring and Analysis (7 papers), Energy Harvesting in Wireless Networks (4 papers), Distributed systems and fault tolerance (4 papers), IoT and Edge/Fog Computing (4 papers), Mobile Ad Hoc Networks (4 papers) and Non-Invasive Vital Sign Monitoring (3 papers). The work is most often cited by research in Computer Networks and Communications (147 citations), Transportation (19 citations), Cardiology and Cardiovascular Medicine (50 citations), Cognitive Neuroscience (45 citations) and Human-Computer Interaction (14 citations). Kun-Mean Hou has collaborated with scholars based in France, China and Italy. Frequent co-authors include Haiying Zhou, Decheng Zuo, Hongling Shi, Haiying Zhou, Jean-Pierre Chanet, Jian Li, Yibo Chen, Christophe de Vaulx, Najib Elkamoun and Jian‐Jin Li. Their work appears in journals such as Sensors, Bio-Medical Materials and Engineering, IEEE Transactions on Reliability, International Journal of Pattern Recognition and Artificial Intelligence and EURASIP Journal on Embedded Systems.

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