Yunji Liang

1.5k citations
49 papers · 903 indexed · h-index 14
Topics
Topic Modeling (5 papers)Context-Aware Activity Recognition Systems (5 papers)Human Mobility and Location-Based Analysis (5 papers)
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Yunji Liang

46 papers receiving 865 citations

Peers

Yunji Liang
Comparison fields: 5 of 102
  • Computer Vision and Pattern Recognition 245
  • Artificial Intelligence 237
  • Information Systems 199
  • Computer Networks and Communications 171
  • Sociology and Political Science 145
Replace Reza Rawassizadeh with:
Reza Rawassizadeh United States
Timothy Sohn United States
Jin-Hyuk Hong South Korea
Kok‐Leong Ong Australia
Fabio Ciravegna United Kingdom
Marcela D. Rodríguez Mexico
Francisco Flórez‐Revuelta Spain
Bernd Ludwig Germany
Bongshin Lee United States
Aaron Striegel United States
Yunji Liang relative to Reza Rawassizadeh United States Reza Rawassizadeh's profile →
Citations per field
00.5×2.5×
Reza Rawassizadeh · 1×
Citations per year

Countries citing papers authored by Yunji Liang

Since Specialization
Citations

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

Fields of papers citing papers by Yunji Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunji Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Yunji Liang. A scholar is included among the top collaborators of Yunji Liang 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 Yunji Liang. Yunji Liang 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 25
3 1
4 6
5 4
6 1
7 1
8 1
9 2
10 34
11 5
12 1
13 0
14 1
15 12
16 2
17 2
18 9
19 20
20 79

About Yunji Liang

Yunji Liang is a scholar working on Family Practice, Transportation and Computer Vision and Pattern Recognition, having authored 49 papers that have together received 903 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Context-Aware Activity Recognition Systems (5 papers) and Human Mobility and Location-Based Analysis (5 papers). The work is most often cited by research in Applied Psychology (74 citations), Computer Vision and Pattern Recognition (245 citations) and Signal Processing (102 citations). Yunji Liang has collaborated with scholars based in China, United States and France. Frequent co-authors include Zhiwen Yu, Bin Guo, Xiaolong Zheng, Xingshe Zhou, Daniel Zeng, Sagar Samtani, Scott J. Leischow, Wingyan Chung, Lina Yao and Daqing Zhang. Their work appears in journals such as Scientific Reports, ACM Computing Surveys and Information Sciences.

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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