Longlong Ma

794 citations
37 papers · 590 indexed · h-index 12
Topics
Handwritten Text Recognition Techniques (15 papers)Image Retrieval and Classification Techniques (10 papers)Advanced Image and Video Retrieval Techniques (9 papers)
Partner nations
ChinaRomaniaJapan

In The Last Decade

Longlong Ma

33 papers receiving 569 citations

Peers

Longlong Ma
Comparison fields: 5 of 61
  • Biomedical Engineering 327
  • Mechanical Engineering 184
  • Computer Vision and Pattern Recognition 132
  • Materials Chemistry 91
  • Artificial Intelligence 66
Replace Zhihui Wang with:
Zhihui Wang China
Zhongmin Liu China
Mingze Xu China
Neha Neha India
Wanting Zeng Taiwan
Kang Shen China
Canhui Zhang China
Yuanyuan Chai China
Xilin Yuan China
Longlong Ma relative to Zhihui Wang China Zhihui Wang's profile →
Citations per field
00.5×3.1×
Zhihui Wang · 1×
Citations per year

Countries citing papers authored by Longlong Ma

Since Specialization
Citations

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

Fields of papers citing papers by Longlong Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Longlong Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Longlong Ma. A scholar is included among the top collaborators of Longlong 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 Longlong Ma. Longlong 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 15
5 1
6 2
7 52
8 20
9 37
10 3
11 8
12 9
13 2
14 4
15 8
16
Compression Methods by Code Mapping and Code Dividing for Chinese Dictionary Stored in a Double-Array Trie
3
17
Tibetan Word Segmentation as Syllable Tagging Using Conditional Random Field
10
18 0
19 2
20 29

About Longlong Ma

Longlong Ma is a scholar working on Computer Vision and Pattern Recognition, Process Chemistry and Technology and Inorganic Chemistry, having authored 37 papers that have together received 590 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (15 papers), Image Retrieval and Classification Techniques (10 papers) and Advanced Image and Video Retrieval Techniques (9 papers). The work is most often cited by research in Catalysis (53 citations), Biomedical Engineering (327 citations) and Computer Vision and Pattern Recognition (132 citations). Longlong Ma has collaborated with scholars based in China, Romania and Japan. Frequent co-authors include Qi Zhang, Qiying Liu, Cheng‐Lin Liu, Chenguang Wang, Qiying Liu, Jian Wu, Jin Tan, Xinghua Zhang, Ning Shi and Ni Chen. Their work appears in journals such as Journal of Cleaner Production, Applied Energy and Polymer.

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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