Weijia Ran

15 papers receiving 313 citations

Peers

Weijia Ran
Comparison fields: 5 of 76
  • Computer Science Applications 78
  • Communication 65
  • Information Systems and Management 62
  • Education 92
  • Developmental and Educational Psychology 38
Replace Pedro Monge Lozano with:
Pedro Monge Lozano Spain
Gurmak Singh United Kingdom
Jason H. Sharp United States
Daniel Pascot Canada
Ahmed Younis Alsabawy Iraq
Andrew Asher United States
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Citations per field
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Citations per year

Countries citing papers authored by Weijia Ran

Since Specialization
Citations

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

Fields of papers citing papers by Weijia Ran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Weijia Ran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Weijia Ran Line = papers co-authored together Weijia Ran links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
A performance-oriented approach to e-learning in the workplace
201072
2 201153
3 201051
4 201640
5 201335
6 201833
7 201425
8 201022
9 20084
10
Ontology-Based Intelligent Agents in Workplace eLearning
20092
11
Develop a Workplace E-learning Environment by Using Key Performance Indicator
20082
12 20102
13 20171
14 20161
15
Ontology and key performance indicator based workplace E-learning environment
20091

About Weijia Ran

Weijia Ran is a scholar working on Sociology and Political Science, Communication, Education, Computer Science Applications and Strategy and Management, having authored 15 papers that have together received 344 indexed citations. Recurring topics across this work include Information Systems Theories and Implementation (5 papers), Knowledge Management and Sharing (4 papers), Online and Blended Learning (3 papers), Business Process Modeling and Analysis (2 papers), Global trade, sustainability, and social impact (2 papers), Open Education and E-Learning (2 papers), E-Government and Public Services (1 paper) and Sustainable Supply Chain Management (1 paper). The work is most often cited by research in Computer Science Applications (78 citations), Communication (65 citations), Information Systems and Management (62 citations), Education (92 citations) and Developmental and Educational Psychology (38 citations). Weijia Ran has collaborated with scholars based in United States, Hong Kong and Indonesia. Frequent co-authors include Minhong Wang, Stephen J.H. Yang, Jian Liao, Doug Vogel, Haiyang Jia, Dickson K.W. Chiu, Natalie Helbig, InduShobha Chengalur‐Smith, Guthrie S. Birkhead and Jennie Y. Law. Their work appears in journals such as Journal of the Association for Information Systems, Journal of Public Health Management and Practice, Expert Systems with Applications, Educational Technology & Society and Systems Research and Behavioral Science.

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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