Man Liang

50 papers receiving 580 citations

Peers

Man Liang
Comparison fields: 5 of 85
  • General Economics, Econometrics and Finance 131
  • Aerospace Engineering 313
  • Geology 48
  • Automotive Engineering 88
  • Safety, Risk, Reliability and Quality 50
Replace Yan Xu with:
Yan Xu China
Marcus A. Johnson United States
Rafal Kicinger United States
Richard Alligier France
Dennis Nieuwenhuisen Netherlands
Aaron McFadyen Australia
Erik Theunissen Netherlands
Yutian Pang United States
Clark Borst Netherlands
J. A. Cobano Spain
Man Liang relative to Yan Xu China Yan Xu's profile →
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Citations per year

Countries citing papers authored by Man Liang

Since Specialization
Citations

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

Fields of papers citing papers by Man Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201886
2 202183
3 201748
4 201846
5 201931
6 202330
7
Short-term 4D Trajectory Prediction Using Machine Learning Methods
201730
8 201525
9 202120
10 202417
11 202215
12 201514
13 202414
14
A Framework of Point Merge-based Autonomous System for Optimizing Aircraft Scheduling in Busy TMA
201512
15 201611
16
Predicting Aircraft Landing Time in Extended-TMA Using Machine Learning Methods
202011
17 202411
18 20208
19 20207
20 20226

About Man Liang

Man Liang is a scholar working on Aerospace Engineering, General Economics, Econometrics and Finance, Automotive Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality, having authored 53 papers that have together received 591 indexed citations. Recurring topics across this work include Air Traffic Management and Optimization (21 papers), Aviation Industry Analysis and Trends (13 papers), Traffic control and management (11 papers), Autonomous Vehicle Technology and Safety (7 papers), Traffic and Road Safety (4 papers), 3D Surveying and Cultural Heritage (3 papers), Robotic Path Planning Algorithms (3 papers) and Remote Sensing and LiDAR Applications (3 papers). The work is most often cited by research in General Economics, Econometrics and Finance (131 citations), Aerospace Engineering (313 citations), Geology (48 citations), Automotive Engineering (88 citations) and Safety, Risk, Reliability and Quality (50 citations). Man Liang has collaborated with scholars based in China, France and Australia. Frequent co-authors include Daniel Delahaye, Pierre Maréchal, Hui Chen, Wanquan Liu, Peter Xiaoping Liu, Weina Wang, Pascal Perrier, Jianwu Dang, Ji Ma and Jun Chen. Their work appears in journals such as Transportation Research Part C Emerging Technologies, Pattern Recognition, Aerospace Science and Technology, Transportation Research Interdisciplinary Perspectives and Journal of Air Transport Management.

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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