Ming-Chih Lu

475 citations
33 papers · 377 · h-index 10

Impact in

Papers in

Ming-Chih Lu

33 papers receiving 357 citations

Peers

Ming-Chih Lu
Comparison fields: 5 of 55
  • Instrumentation 53
  • Computer Vision and Pattern Recognition 231
  • Media Technology 64
  • Automotive Engineering 41
  • Mechanics of Materials 82
Replace Gaurav Pandey with:
Gaurav Pandey United States
Kibaek Park South Korea
Aral Sarrafi United States
Jae Shin Yoon United States
Hugo Jiménez‐Hernández Mexico
Yunwang Li China
Fanhuai Shi China
Jinhui Lan China
Feixiang Lu China
Stephen Vidas Australia
Ming-Chih Lu relative to Gaurav Pandey United States Gaurav Pandey's profile →
Citations per field
00.5×10×16.4×
Gaurav Pandey · 1×
Citations per year

Countries citing papers authored by Ming-Chih Lu

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Chih Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Chih Lu. 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-Chih Lu. The network helps show where Ming-Chih Lu may publish in the future.

Co-authors

The 14 scholars most cited alongside Ming-Chih Lu, 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-Chih Lu Line = papers co-authored together Ming-Chih Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200659
2 200854
3 200940
4 200429
5 201125
6 200721
7
Vision-based distance and area measurement system
200816
8 201013
9 200913
10
Distance measurement using single non-metric CCD camera
200711
11 20129
12 20109
13 20128
14 20128
15 20127
16 20117
17
Image-based height measuring system
20076
18 20105
19
Image- and Robot-Based Distance and Area Measuring Method
20075
20 20095

About Ming-Chih Lu

Ming-Chih Lu is a scholar working on Computer Vision and Pattern Recognition, Mechanics of Materials, Computer Networks and Communications, Instrumentation and Electrical and Electronic Engineering, having authored 33 papers that have together received 377 indexed citations. Recurring topics across this work include Flow Measurement and Analysis (18 papers), Image and Object Detection Techniques (13 papers), Advanced Optical Sensing Technologies (10 papers), Advanced Sensor Technologies Research (7 papers), Sensor Technology and Measurement Systems (7 papers), Image Processing Techniques and Applications (6 papers), Advanced Measurement and Detection Methods (5 papers) and Optical measurement and interference techniques (4 papers). The work is most often cited by research in Instrumentation (53 citations), Computer Vision and Pattern Recognition (231 citations), Media Technology (64 citations), Automotive Engineering (41 citations) and Mechanics of Materials (82 citations). Ming-Chih Lu has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Wei‐Yen Wang, Chun-Yen Chu, Chen‐Chien Hsu, Cheng‐Chuan Chen, Shih‐An Li, Cheng‐Yen Tsai, Yufei Lu, I-Hsum Li, Chin‐Chuan Han and Kuo‐Chin Fan. Their work appears in journals such as IEEE Sensors Journal, Machine Vision and Applications, IEEE Transactions on Instrumentation and Measurement, Measurement and ISA Transactions.

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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