Zi Ma

465 citations
53 papers · 385 · h-index 10

Impact in

Papers in

Zi Ma

48 papers receiving 367 citations

Peers

Zi Ma
Comparison fields: 5 of 76
  • Control and Systems Engineering 96
  • Computer Vision and Pattern Recognition 85
  • Neurology 49
  • Geology 14
  • Media Technology 20
Replace Francesco Gianfelici with:
Francesco Gianfelici Italy
Yongjun Wu China
Zengyi Qin United States
Hao Fang China
Martin J. Schuster Germany
M. Pauline Baker United States
Siyu Guo China
Jigang Tong China
Silvia Cascianelli Italy
Zi Ma relative to Francesco Gianfelici Italy Francesco Gianfelici's profile →
Citations per field
00.5×
Francesco Gianfelici · 1×
Citations per year

Countries citing papers authored by Zi Ma

Since Specialization
Citations

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

Fields of papers citing papers by Zi Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Zi Ma, 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 Zi Ma Line = papers co-authored together Zi Ma 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 2010112
2 200945
3 200632
4 201328
5 200615
6 201114
7 198913
8 200711
9 20069
10 20069
11 20087
12 20086
13 20095
14 20065
15 20105
16 20025
17 20074
18 20064
19 20084
20 20144

About Zi Ma

Zi Ma is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Mechanical Engineering, Media Technology and Aerospace Engineering, having authored 53 papers that have together received 385 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (14 papers), Image Processing Techniques and Applications (10 papers), Advanced Measurement and Metrology Techniques (10 papers), Robotics and Sensor-Based Localization (8 papers), 3D Surveying and Cultural Heritage (7 papers), Advanced Vision and Imaging (7 papers), Adaptive Control of Nonlinear Systems (5 papers) and Industrial Vision Systems and Defect Detection (5 papers). The work is most often cited by research in Control and Systems Engineering (96 citations), Computer Vision and Pattern Recognition (85 citations), Neurology (49 citations), Geology (14 citations) and Media Technology (20 citations). Zi Ma has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Defeng Wu, Kevin Warwick, Tipu Z. Aziz, Shuanghe Yu, Mark N. Gasson, Ge Guo, Jialu Du, Aiguo Li, Ying Hu and Xinyu Chen. Their work appears in journals such as Optics Communications, Expert Systems with Applications, Mechanics Based Design of Structures and Machines, ACS Applied Nano Materials and International Journal of Neural Systems.

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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