Ming-Fang Chang

1.7k total citations · 1 hit paper
12 papers, 1.0k citations indexed

About

Ming-Fang Chang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Occupational Therapy. According to data from OpenAlex, Ming-Fang Chang has authored 12 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Aerospace Engineering and 2 papers in Occupational Therapy. Recurrent topics in Ming-Fang Chang's work include Robotics and Sensor-Based Localization (4 papers), Advanced Vision and Imaging (3 papers) and Video Surveillance and Tracking Methods (2 papers). Ming-Fang Chang is often cited by papers focused on Robotics and Sensor-Based Localization (4 papers), Advanced Vision and Imaging (3 papers) and Video Surveillance and Tracking Methods (2 papers). Ming-Fang Chang collaborates with scholars based in Taiwan, United States and Australia. Ming-Fang Chang's co-authors include Simon Lucey, John Lambert, James Hays, Peter Carr, Patsorn Sangkloy, Deva Ramanan, Wang De, Sławomir Bąk, Jagjeet Singh and Andrew T. Hartnett and has published in prestigious journals such as BMC Geriatrics, Journal of Integrated Care and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

In The Last Decade

Ming-Fang Chang

11 papers receiving 978 citations

Hit Papers

Argoverse: 3D Tracking and Forecasting With Rich Maps 2019 2026 2021 2023 2019 250 500 750
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.

  1. Argoverse: 3D Tracking and Forecasting With Rich Maps
    2019 882 citations Ming-Fang Chang, John Lambert et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ming-Fang Chang Taiwan 7 579 570 208 160 151 12 1.0k
Sławomir Bąk France 9 577 1.0× 984 1.7× 236 1.1× 139 0.9× 147 1.0× 14 1.4k
Christopher Choy United States 10 563 1.0× 770 1.4× 292 1.4× 357 2.2× 161 1.1× 14 1.4k
Andreas Wedel Germany 12 394 0.7× 680 1.2× 131 0.6× 130 0.8× 113 0.7× 17 991
Hang Zhao China 10 570 1.0× 443 0.8× 206 1.0× 101 0.6× 164 1.1× 34 1.0k
Julian F. P. Kooij Netherlands 17 289 0.5× 468 0.8× 190 0.9× 255 1.6× 79 0.5× 39 889
Paul Vernaza United States 9 620 1.1× 516 0.9× 286 1.4× 118 0.7× 153 1.0× 19 915
Pietro Cerri Italy 21 703 1.2× 881 1.5× 166 0.8× 297 1.9× 91 0.6× 32 1.4k
Sayanan Sivaraman United States 16 940 1.6× 1.2k 2.1× 247 1.2× 163 1.0× 151 1.0× 19 1.7k
Jagjeet Singh United States 3 600 1.0× 529 0.9× 205 1.0× 143 0.9× 154 1.0× 4 931
Tobias Gindele Germany 15 713 1.2× 337 0.6× 233 1.1× 125 0.8× 150 1.0× 16 977

Countries citing papers authored by Ming-Fang Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Fang Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Fang Chang. A scholar is included among the top collaborators of Ming-Fang Chang 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-Fang Chang. Ming-Fang Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
2.
Chang, Ming-Fang, Wei Dong, Joshua G. Mangelson, Michael Kaess, & Simon Lucey. (2021). Map Compressibility Assessment for LiDAR Registration. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 5560–5567. 3 indexed citations
3.
Chang, Ming-Fang, Joshua G. Mangelson, Michael Kaess, & Simon Lucey. (2021). HyperMap: Compressed 3D Map for Monocular Camera Registration. 11 indexed citations
4.
Chang, Ming-Fang. (2021). Challenges and chances for local health and social care integration – Lessons from Greater Manchester, England. Journal of Integrated Care. 30(2). 146–159. 3 indexed citations
5.
Chang, Ming-Fang, John Lambert, Patsorn Sangkloy, et al.. (2019). Argoverse: 3D Tracking and Forecasting With Rich Maps. 8740–8749. 882 indexed citations breakdown →
6.
Chang, Ming-Fang, et al.. (2017). Monocular Depth from Small Motion Video Accelerated. 575–583. 5 indexed citations
7.
Chung, Pau‐Choo, et al.. (2016). Abnormal Driving Behavior Detection Using Sparse Representation. 390–395. 3 indexed citations
8.
Chang, Ming-Fang, et al.. (2012). Design and implementation of an active robotic walker for Parkinson's patients. Society of Instrument and Control Engineers of Japan. 2068–2073. 14 indexed citations
9.
Chang, Ming-Fang, et al.. (2012). Context-aware assisted interactive robotic walker for Parkinson's disease patients. 34 indexed citations
10.
Li, Jiun-Yi, et al.. (2011). Multi-robot cooperation based human tracking system using Laser Range Finder. 532–537. 29 indexed citations
11.
12.
Yu, Kuan‐Ting, et al.. (2010). An interactive robotic walker for assisting elderly mobility in senior care unit. 24–29. 24 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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