Ming‐Der Yang

3.2k citations
99 papers · 2.5k · h-index 30

Impact in

Papers in

Ming‐Der Yang

95 papers receiving 2.4k citations

Peers

Ming‐Der Yang
Comparison fields: 5 of 131
  • Environmental Engineering 552
  • Civil and Structural Engineering 567
  • Building and Construction 353
  • Ecology 547
  • Geology 114
Replace Pablo Martı́nez with:
Pablo Martı́nez Canada
Hao Wu China
Mingzhu Wang China
Sanjay Kumar Ghosh India
Maher Ibrahim Sameen Australia
Joon Heo South Korea
Xiaojun Yang China
Bahareh Kalantar Japan
Ji Zhou China
Shattri Mansor Malaysia
Ming‐Der Yang relative to Pablo Martı́nez Canada Pablo Martı́nez's profile →
Citations per field
00.5×3.6×
Pablo Martı́nez · 1×
Citations per year

Countries citing papers authored by Ming‐Der Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Der Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Der Yang. 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 Ming‐Der Yang. The network helps show where Ming‐Der Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017149
2 2020146
3 2002111
4 2012106
5 200797
6 201695
7 201692
8 201191
9 202080
10 200577
11 201174
12 201157
13 200857
14 202256
15 201153
16 201653
17 202152
18 202251
19 201450
20 201843

About Ming‐Der Yang

Ming‐Der Yang is a scholar working on Civil and Structural Engineering, Ecology, Environmental Engineering, Computer Vision and Pattern Recognition and Plant Science, having authored 99 papers that have together received 2.5k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (20 papers), Infrastructure Maintenance and Monitoring (18 papers), Smart Agriculture and AI (14 papers), Remote Sensing and LiDAR Applications (9 papers), Landslides and related hazards (8 papers), Remote Sensing and Land Use (8 papers), Remote-Sensing Image Classification (7 papers) and Industrial Vision Systems and Defect Detection (7 papers). The work is most often cited by research in Environmental Engineering (552 citations), Civil and Structural Engineering (567 citations), Building and Construction (353 citations), Ecology (547 citations) and Geology (114 citations). Ming‐Der Yang has collaborated with scholars based in Taiwan, United States and Estonia. Frequent co-authors include Tung‐Ching Su, Hui-Ping Tsai, Yu‐Hao Lin, Yu‐Chun Hsu, Hsin-Hung Tseng, Ji-Yuan Lin, Min‐Der Lin, Kang-Ting Tsai, Ping‐Sien Lin and Nang-Fei Pan. Their work appears in journals such as Remote Sensing, Computers and Electronics in Agriculture, Expert Systems with Applications, Sensors and Case Studies in Construction Materials.

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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