Ming-Chang Wen

571 total citations · 1 hit paper
8 papers, 449 citations indexed

About

Ming-Chang Wen is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Ming-Chang Wen has authored 8 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Aerospace Engineering, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Mechanical Engineering. Recurrent topics in Ming-Chang Wen's work include Robotics and Sensor-Based Localization (4 papers), 3D Surveying and Cultural Heritage (2 papers) and Advanced Photocatalysis Techniques (2 papers). Ming-Chang Wen is often cited by papers focused on Robotics and Sensor-Based Localization (4 papers), 3D Surveying and Cultural Heritage (2 papers) and Advanced Photocatalysis Techniques (2 papers). Ming-Chang Wen collaborates with scholars based in Taiwan. Ming-Chang Wen's co-authors include Shih‐Chung Kang, Meng‐Han Tsai, Jen-Yu Han, Albert Y. Chen, Tzong-Hann Wu, Peter Liu, Jihn‐Sung Lai, Chung‐Hsin Lu, Yu-Lien Chang and Ying‐Chu Chen and has published in prestigious journals such as Journal of Alloys and Compounds, Automation in Construction and Journal of Materials Science Materials in Electronics.

In The Last Decade

Ming-Chang Wen

7 papers receiving 428 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A review of rotorcraft Unmanned Aerial Vehicle (UAV) developments and applications in civil engineering

2014 284 citations Peter Liu, Albert Y. Chen et al. Smart Structures and Systems profile →

Peers

Ming-Chang Wen

AE

GEOLO

CVPR

EE

CSE

Andrzej Szymon Borkowski Poland

Lichao Xu United States

Ming Lü China

Dan Koo United States

Kai Zhan China

Liang Yuan China

Xiyu Zhang China

Yilin Zhou China

Yaping Zhang China

Zhaohua Wang China

Andrzej Szymon Borkowski Poland

Ming-Chang Wen

35 ×0.2

AE

62 ×0.4

GEOLO

65 ×0.7

CVPR

26 ×0.3

EE

42 ×0.6

CSE

Citations per year, relative to Ming-Chang Wen Ming-Chang Wen (= 1×) peers Andrzej Szymon Borkowski

Countries citing papers authored by Ming-Chang Wen

Since Specialization

Citations

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

Fields of papers citing papers by Ming-Chang Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming-Chang Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Chang Wen. A scholar is included among the top collaborators of Ming-Chang Wen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming-Chang Wen. Ming-Chang Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Wen, Ming-Chang, et al.. (2018). Teleyes: A telepresence system based on stereoscopic vision and head motion tracking. Automation in Construction. 89. 199–213. 3 indexed citations

2.

Wen, Ming-Chang, et al.. (2015). An Optimized Unmanned Aerial System for Bridge Inspection. Proceedings of the ... ISARC. 18 indexed citations

3.

Wen, Ming-Chang, et al.. (2015). A Stereo Vision-Based Support System for Tele-Operation of Unmanned Vehicle. Proceedings of the ... ISARC.

4.

Tsai, Meng‐Han, Ming-Chang Wen, Yu-Lien Chang, & Shih‐Chung Kang. (2014). Game-based education for disaster prevention. AI & Society. 30(4). 463–475. 56 indexed citations

5.

Liu, Peter, Albert Y. Chen, Jen-Yu Han, et al.. (2014). A review of rotorcraft Unmanned Aerial Vehicle (UAV) developments and applications in civil engineering. Smart Structures and Systems. 13(6). 1065–1094. 284 indexed citations breakdown →

6.

Wen, Ming-Chang & Shih‐Chung Kang. (2014). Augmented Reality and Unmanned Aerial Vehicle Assist in Construction Management. Computing in Civil and Building Engineering (2014). 1570–1577. 39 indexed citations

7.

Wen, Ming-Chang, et al.. (2013). Reaction mechanism and kinetics analysis of the phase transformation of TiO2 from the anatase phase to the rutile phase. Journal of Materials Science Materials in Electronics. 24(7). 2506–2512. 19 indexed citations

8.

Lu, Chung‐Hsin & Ming-Chang Wen. (2007). Synthesis of nanosized TiO2 powders via a hydrothermal microemulsion process. Journal of Alloys and Compounds. 448(1-2). 153–158. 30 indexed citations

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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