Mei‐Ling Huang

2.6k citations
118 papers · 2.0k · h-index 26

Impact in

Papers in

Mei‐Ling Huang

112 papers receiving 1.9k citations

Peers

Mei‐Ling Huang
Comparison fields: 5 of 154
  • Ophthalmology 232
  • Renewable Energy, Sustainability and the Environment 395
  • Radiology, Nuclear Medicine and Imaging 296
  • Health Information Management 51
  • Industrial and Manufacturing Engineering 106
Replace Xiyang Liu with:
Xiyang Liu China
Mohd Asyraf Zulkifley Malaysia
Ali Raza Pakistan
Chenxi Huang China
Joon Huang Chuah Malaysia
Sunday O. Olatunji Saudi Arabia
Tingting Jiang China
Md. Robiul Islam Bangladesh
Ling Ma China
Mohamed A. Kassem Egypt
Mei‐Ling Huang relative to Xiyang Liu China Xiyang Liu's profile →
Citations per field
00.5×2.7×
Xiyang Liu · 1×
Citations per year

Countries citing papers authored by Mei‐Ling Huang

Since Specialization
Citations

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

Fields of papers citing papers by Mei‐Ling Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005115
2 201580
3 202271
4 200665
5 201064
6 200563
7 201262
8 201355
9 202151
10 202046
11 201645
12 201644
13 202144
14 200942
15 202240
16 201740
17 202238
18 202337
19 202136
20 202135

About Mei‐Ling Huang

Mei‐Ling Huang is a scholar working on Radiology, Nuclear Medicine and Imaging, Renewable Energy, Sustainability and the Environment, Industrial and Manufacturing Engineering, Artificial Intelligence and Electrical and Electronic Engineering, having authored 118 papers that have together received 2.0k indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (10 papers), Advanced Photocatalysis Techniques (8 papers), Industrial Vision Systems and Defect Detection (8 papers), AI in cancer detection (8 papers), Manufacturing Process and Optimization (7 papers), Electrocatalysts for Energy Conversion (6 papers), Retinal Imaging and Analysis (6 papers) and Smart Agriculture and AI (5 papers). The work is most often cited by research in Ophthalmology (232 citations), Renewable Energy, Sustainability and the Environment (395 citations), Radiology, Nuclear Medicine and Imaging (296 citations), Health Information Management (51 citations) and Industrial and Manufacturing Engineering (106 citations). Mei‐Ling Huang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Hsin‐Yi Chen, Yung‐Hsiang Hung, Ting‐Yu Lin, Yongzhong Wu, Yongliang Shao, Xiaopeng Hao, Hsu‐Hao Yang, Jianjun Huang, Cheng‐Jian Lin and Changdong Gu. Their work appears in journals such as Data in Brief, Energies, Mathematical Biosciences & Engineering, Journal of Medical Systems and Journal of Optometry.

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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