Tianlong Ma

1.1k total citations · 1 hit paper
32 papers, 656 citations indexed

About

Tianlong Ma is a scholar working on Computer Vision and Pattern Recognition, Oceanography and Ocean Engineering. According to data from OpenAlex, Tianlong Ma has authored 32 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 11 papers in Oceanography and 10 papers in Ocean Engineering. Recurrent topics in Tianlong Ma's work include Underwater Acoustics Research (11 papers), Underwater Vehicles and Communication Systems (10 papers) and Handwritten Text Recognition Techniques (7 papers). Tianlong Ma is often cited by papers focused on Underwater Acoustics Research (11 papers), Underwater Vehicles and Communication Systems (10 papers) and Handwritten Text Recognition Techniques (7 papers). Tianlong Ma collaborates with scholars based in China. Tianlong Ma's co-authors include Xingjiao Wu, Liang He, Luwei Xiao, Yixuan Sun, Junhang Zhang, Songzuo Liu, Gang Qiao, Muhammad Bilal, Yanling Yin and Yingbin Zheng and has published in prestigious journals such as The Journal of the Acoustical Society of America, Sensors and Information Sciences.

In The Last Decade

Tianlong Ma

28 papers receiving 638 citations

Hit Papers

A survey of human-in-the-loop for machine learning 2022 2026 2023 2024 2022 100 200 300

Peers

Tianlong Ma
Comparison fields: 5 of 124
  • Artificial Intelligence 213
  • Computer Vision and Pattern Recognition 140
  • Ocean Engineering 130
  • Oceanography 123
  • Ecology 74
Replace Jia Yuan Yu with:
Jia Yuan Yu China
Hua Peng China
Ankita Jain India
Xuefeng Liang China
Yuzhong Shen United States
Yunfeng Li China
James Montgomery Australia
Zhihong Li China
Fan Yin China
Jia Yuan Yu China View profile →
Citations per field, relative to Tianlong Ma
Tianlong Ma · 1×
Citations per year, relative to Tianlong Ma
Tianlong Ma · 1×

Countries citing papers authored by Tianlong Ma

Since Specialization
Citations

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

Fields of papers citing papers by Tianlong Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianlong Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Tianlong Ma. A scholar is included among the top collaborators of Tianlong 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 Tianlong Ma. Tianlong 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
# Work Indexed citations
1 0
2 0
3 1
4 5
5 6
6 0
7 0
8 2
9 3
10
A survey of human-in-the-loop for machine learning breakdown →
368
11 6
12 7
13 28
14 9
15 1
16 17
17 13
18 7
19 15
20 3

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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