Chia‐Ling Wei

1.2k citations
69 papers · 981 · h-index 17

Impact in

Papers in

Chia‐Ling Wei

68 papers receiving 940 citations

Peers

Chia‐Ling Wei
Comparison fields: 5 of 69
  • Automotive Engineering 188
  • Electrical and Electronic Engineering 780
  • Biomedical Engineering 336
  • Bioengineering 39
  • Renewable Energy, Sustainability and the Environment 101
Replace Lianxi Liu with:
Lianxi Liu China
Bill Diong United States
Weichen Li China
Eduardo P. Wiechmann Chile
Fernando Rangel de Sousa Brazil
J. M. Martínez-Tarifa Spain
Michael D. Seeman United States
N. Madhu Mohan India
Jaromír Konecny Czechia
Chia‐Ling Wei relative to Lianxi Liu China Lianxi Liu's profile →
Citations per field
00.5×4.7×
Lianxi Liu · 1×
Citations per year

Countries citing papers authored by Chia‐Ling Wei

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Ling Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Ling Wei. 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 Chia‐Ling Wei. The network helps show where Chia‐Ling Wei may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012107
2 201862
3 201656
4 200551
5 201451
6 201350
7 200742
8 200941
9 201336
10 201632
11 201529
12 202028
13 201728
14 201121
15 201417
16 201017
17 201816
18 200615
19 202115
20 201013

About Chia‐Ling Wei

Chia‐Ling Wei is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Automotive Engineering, Bioengineering and Mechanical Engineering, having authored 69 papers that have together received 981 indexed citations. Recurring topics across this work include Advanced DC-DC Converters (19 papers), Analog and Mixed-Signal Circuit Design (19 papers), Advanced Battery Technologies Research (10 papers), Analytical Chemistry and Sensors (10 papers), Innovative Energy Harvesting Technologies (9 papers), Electrical and Bioimpedance Tomography (9 papers), Photovoltaic System Optimization Techniques (7 papers) and Hemodynamic Monitoring and Therapy (6 papers). The work is most often cited by research in Automotive Engineering (188 citations), Electrical and Electronic Engineering (780 citations), Biomedical Engineering (336 citations), Bioengineering (39 citations) and Renewable Energy, Sustainability and the Environment (101 citations). Chia‐Ling Wei has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include John A. Pearce, Jonathan W. Valvano, M D Feldman, Bin-Da Liu, Robert B. Darling, Yu‐Chen Hsu, Yiwen Wang, Chin‐Wei Chang, Matthias Nahrendorf and Ronald M. Peshock. Their work appears in journals such as IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Power Electronics, IEEE Transactions on Circuits and Systems I Regular Papers and IEEE Transactions on Electron Devices.

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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