Aziguli Wulamu

621 citations
44 papers · 403 indexed · h-index 10
Topics
Topic Modeling (5 papers)Advanced Text Analysis Techniques (4 papers)Text and Document Classification Technologies (4 papers)
Partner nations
ChinaCanadaJapan

In The Last Decade

Aziguli Wulamu

38 papers receiving 386 citations

Peers

Aziguli Wulamu
Comparison fields: 5 of 117
  • Artificial Intelligence 82
  • Biomedical Engineering 58
  • Computer Vision and Pattern Recognition 56
  • Information Systems 48
  • Mechanical Engineering 43
Replace KwangSoo Yang with:
KwangSoo Yang United States
Sangsoon Lim South Korea
Bruno Baruque Spain
Eustace M. Dogo South Africa
Allou Samé France
Maman Abdurohman Indonesia
Stephen Lee United States
Lei Cheng China
Aziguli Wulamu relative to KwangSoo Yang United States KwangSoo Yang's profile →
Citations per field
00.5×4.3×
KwangSoo Yang · 1×
Citations per year

Countries citing papers authored by Aziguli Wulamu

Since Specialization
Citations

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

Fields of papers citing papers by Aziguli Wulamu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aziguli Wulamu

This figure shows the co-authorship network connecting the top 25 collaborators of Aziguli Wulamu. A scholar is included among the top collaborators of Aziguli Wulamu 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 Aziguli Wulamu. Aziguli Wulamu 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 1
3 2
4 0
5 1
6 8
7 8
8 1
9 2
10 26
11 3
12 7
13 8
14 8
15 2
16 1
17 3
18 8
19 5
20 1

About Aziguli Wulamu

Aziguli Wulamu is a scholar working on General Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 403 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Advanced Text Analysis Techniques (4 papers) and Text and Document Classification Technologies (4 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (16 citations), Computer Vision and Pattern Recognition (56 citations) and Geography, Planning and Development (15 citations). Aziguli Wulamu has collaborated with scholars based in China, Canada and Japan. Frequent co-authors include Dezheng Zhang, Dezheng Zhang, Taohong Zhang, Bin Zheng, Qinwei Guo, Xin Liu, Xiaoqin Duan, Eli Sumarliah, Chengwei Pan and Ziyi Chen. Their work appears in journals such as IEEE Access, Sensors and Polymer Degradation and Stability.

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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