Yang Ji

1.6k citations
108 papers · 914 indexed · h-index 15
Topics
Caching and Content Delivery (20 papers)Peer-to-Peer Network Technologies (17 papers)Context-Aware Activity Recognition Systems (11 papers)

In The Last Decade

Yang Ji

95 papers receiving 862 citations

Peers

Yang Ji
Comparison fields: 5 of 94
  • Artificial Intelligence 331
  • Control and Systems Engineering 311
  • Computer Networks and Communications 248
  • Electrical and Electronic Engineering 143
  • Information Systems 124
Replace Meir Kalech with:
Meir Kalech Israel
Jehn‐Ruey Jiang Taiwan
Janusz Zalewski United States
Sasikumar Punnekkat Sweden
Urko Zurutuza Spain
Corrado Santoro Italy
Burairah Hussin Malaysia
Gigliola Vaglini Italy
Shijie Zhou China
Hui Suo China
Yang Ji relative to Meir Kalech Israel Meir Kalech's profile →
Citations per field
00.5×4.3×
Meir Kalech · 1×
Citations per year

Countries citing papers authored by Yang Ji

Since Specialization
Citations

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

Fields of papers citing papers by Yang Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Ji. A scholar is included among the top collaborators of Yang Ji 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 Yang Ji. Yang Ji 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 16
2 2
3 1
4 4
5 0
6
Factors Influencing Academic Achievements in Virtual Education for a Piano Practicum Course Including Video Presentations
1
7 7
8 8
9 61
10
Prediction of Academic Achievement Based on Digital Campus.
4
11 5
12 1
13 12
14 19
15 3
16 2
17 11
18
The Vision of Mobile Ubiquitous Service Environment and Several Challenges for the Architecture Design
1
19 1
20 2

About Yang Ji

Yang Ji is a scholar working on Computer Networks and Communications, Computer Science Applications and Medical Laboratory Technology, having authored 108 papers that have together received 914 indexed citations. Recurring topics across this work include Caching and Content Delivery (20 papers), Peer-to-Peer Network Technologies (17 papers) and Context-Aware Activity Recognition Systems (11 papers). The work is most often cited by research in Medical Laboratory Technology (24 citations), Control and Systems Engineering (311 citations) and Computer Networks and Communications (248 citations). Yang Ji has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Zhenyu Wu, Chunhong Zhang, Michael Pecht, Xinning Zhu, Guo Yang, Zheng Hu, Ping Zhang, Han Xiao, Cheng Cheng and Zhiyong Feng. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

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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