Han Ma

542 citations
25 papers · 305 indexed · h-index 9
Topics
Robotic Path Planning Algorithms (10 papers)Robotics and Sensor-Based Localization (7 papers)Remote Sensing in Agriculture (5 papers)
Journals
SHILAP Revista de lepidopterologíaRemote Sensing of EnvironmentJournal of Hydrology

In The Last Decade

Han Ma

21 papers receiving 302 citations

Peers

Han Ma
Comparison fields: 5 of 51
  • Computer Vision and Pattern Recognition 212
  • Aerospace Engineering 120
  • Control and Systems Engineering 62
  • Computational Mechanics 44
  • Environmental Engineering 35
Replace Zachary Teed with:
Zachary Teed United States
Jonathon Luiten Germany
Kai Berger Germany
Jürgen Gall Germany
Zehui Chen China
Visesh Chari India
Joshua G. Mangelson United States
Zhaoxi Chen China
Tianrui Guan United States
Han Ma relative to Zachary Teed United States Zachary Teed's profile →
Citations per field
00.5×10×
Zachary Teed · 1×
Citations per year

Countries citing papers authored by Han Ma

Since Specialization
Citations

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

Fields of papers citing papers by Han Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Ma

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 6
5 3
6 3
7 8
8 8
9 1
10 4
11 35
12 16
13 2
14 51
15 2
16 40
17 67
18 12
19 25
20
Computer-aided Diagnosis System for Pulmonary Nodules Based on CT Images
2

About Han Ma

Han Ma is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Graphics and Computer-Aided Design, having authored 25 papers that have together received 305 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (10 papers), Robotics and Sensor-Based Localization (7 papers) and Remote Sensing in Agriculture (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (212 citations), Computer Graphics and Computer-Aided Design (34 citations) and Geology (27 citations). Han Ma has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Max Q.‐H. Meng, Jiankun Wang, Fei Meng, Ming Liu, Xuebin Sun, Yuxiang Sun, Chaoqun Wang, Yanwen Guo, Weinan Chen and Li Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Journal of Hydrology.

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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