Wei-Che Chien

727 citations
41 papers · 506 · h-index 11

Impact in

Papers in

Wei-Che Chien

41 papers receiving 489 citations

Peers

Wei-Che Chien
Comparison fields: 5 of 76
  • Computer Networks and Communications 255
  • Electrical and Electronic Engineering 193
  • Information Systems 69
  • Computer Vision and Pattern Recognition 61
  • Aerospace Engineering 73
Replace Faisal Naeem with:
Faisal Naeem Pakistan
Peiyuan Guan China
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Ranbir Singh Batth India
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Wei-Che Chien relative to Faisal Naeem Pakistan Faisal Naeem's profile →
Citations per field
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Citations per year

Countries citing papers authored by Wei-Che Chien

Since Specialization
Citations

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

Fields of papers citing papers by Wei-Che Chien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei-Che Chien. 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 Wei-Che Chien. The network helps show where Wei-Che Chien may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201982
2 201972
3 201954
4 201949
5 201840
6 201920
7 202215
8 202014
9 201713
10 202112
11 201911
12 201310
13 201610
14 20229
15 20219
16 20158
17 20237
18
Overview of Deep Reinforcement Learning Improvements and Applications
20217
19 20187
20
SMDAps: A Specification-based Misbehavior Detection System for Implantable Devices in Artificial Pancreas System
20215

About Wei-Che Chien

Wei-Che Chien is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering, having authored 41 papers that have together received 506 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (11 papers), Software-Defined Networks and 5G (5 papers), Energy Harvesting in Wireless Networks (5 papers), Caching and Content Delivery (4 papers), Opportunistic and Delay-Tolerant Networks (3 papers), Advanced MIMO Systems Optimization (3 papers), Image Enhancement Techniques (3 papers) and Energy Efficient Wireless Sensor Networks (3 papers). The work is most often cited by research in Computer Networks and Communications (255 citations), Electrical and Electronic Engineering (193 citations), Information Systems (69 citations), Computer Vision and Pattern Recognition (61 citations) and Aerospace Engineering (73 citations). Wei-Che Chien has collaborated with scholars based in Taiwan, China and Saudi Arabia. Frequent co-authors include Chin‐Feng Lai, Han‐Chieh Chao, Hsin‐Hung Cho, Weizhong Qiang, Laurence T. Yang, Ghulam Muhammad, M. Shamim Hossain, Shih-Yeh Chen, Mohammad Mehedi Hassan and Yueh‐Min Huang. Their work appears in journals such as Future Generation Computer Systems, Frontiers in Psychology, IEEE Transactions on Industrial Informatics, IEEE Network and Future Internet.

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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