Ming Liang

4.2k citations
51 papers · 936 indexed · 1 hit paper · h-index 12

Ming Liang

43 papers receiving 895 citations

Hit Papers

Multi-Task Multi-Sensor Fusion for 3D Object Detection4902019202620212023100200300400

Peers

Ming Liang
Comparison fields: 5 of 78
  • Instrumentation 131
  • Computer Vision and Pattern Recognition 466
  • Geology 70
  • Aerospace Engineering 287
  • Astronomy and Astrophysics 156
Replace Junhui Huang with:
Junhui Huang China
Abhijit Kundu India
Rama Krishna Gorthi India
Tomislav Petković Croatia
Chunyi Song China
Daniel Sawyer United States
Caiwen Ma China
Hong Zhao China
Changku Sun China
Giovanni B. Palmerini Italy
Ming Liang relative to Junhui Huang China Junhui Huang's profile →
Citations per field
00.5×10×15×22.3×
Junhui Huang · 1×
Citations per year

Countries citing papers authored by Ming Liang

Since Specialization
Citations

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

Fields of papers citing papers by Ming Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20220
3 20214
4
Recovering and Simulating Pedestrians in the Wild
20201
5
Multi-Task Multi-Sensor Fusion for 3D Object Detectionbreakdown →
2019490
6
Identifying Unknown Instances for Autonomous Driving
201935
7 20199
8 201712
9 201620
10 201413
11 20141
12 201211
13 20126
14
Calibration of LSST Instrumental and Atmospheric Photometric Passbands
20110
15 20062
16 20061
17 200616
18 20064
19 20043
20 199334

About Ming Liang

Ming Liang is a scholar working on Instrumentation, Atomic and Molecular Physics, and Optics and Astronomy and Astrophysics, having authored 51 papers that have together received 936 indexed citations. Recurring topics across this work include Adaptive optics and wavefront sensing (37 papers), Astronomy and Astrophysical Research (20 papers), Optical Systems and Laser Technology (12 papers), Advanced optical system design (12 papers), Stellar, planetary, and galactic studies (10 papers), Calibration and Measurement Techniques (7 papers), Astronomical Observations and Instrumentation (5 papers) and Planetary Science and Exploration (2 papers). The work is most often cited by research in Instrumentation (131 citations), Computer Vision and Pattern Recognition (466 citations) and Geology (70 citations). Ming Liang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Raquel Urtasun, Rui Hu, Yun Chen, Bin Yang, R. R. Joyce, Edward A. Hileman, J. H. Elias, J. Richard George, Medhat Hannallah and Jonathan L. Benumof. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, Anesthesia & Analgesia and Journal of Psychiatric Research.

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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