Zhendong Niu

6.5k citations
226 papers · 4.0k indexed · 2 hit papers · h-index 34

Zhendong Niu

200 papers receiving 3.9k citations

Hit Papers

A hybrid knowledge-based recommender system for e-learnin...2002017202620202023100200300

Peers

Zhendong Niu
Comparison fields: 5 of 158
  • Computer Science Applications 645
  • Information Systems 1.8k
  • Software 260
  • Artificial Intelligence 1.9k
  • Computational Mathematics 22
Replace Mirjana Ivanović with:
Mirjana Ivanović Serbia
Alan Bundy United Kingdom
Gautam Biswas United States
Ruimin Shen China
David Camacho Spain
Anita M.-Y. Wong Hong Kong
Steven M. Drucker United States
Tsvi Kuflik Israel
Daniel Jurafsky United States
Mira Dontcheva United States
Zhendong Niu relative to Mirjana Ivanović Serbia Mirjana Ivanović's profile →
Citations per field
00.5×3.1×
Mirjana Ivanović · 1×
Citations per year

Countries citing papers authored by Zhendong Niu

Since Specialization
Citations

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

Fields of papers citing papers by Zhendong Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Zhendong Niu, 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 Zhendong Niu Line = papers co-authored together Zhendong Niu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20252
4 202414
5 20241
6 20233
7 202333
8 20233
9 202319
10 202365
11 202214
12
Study on the Risk Factors for Hyperuricaemia and Related Vascular Complications in Patients with Type 2 Diabetes Mellitus
20200
13 202022
14
A Session-based Job Recommendation System Combining Area Knowledge and Interest Graph Neural Networks.
20202
15 201822
16 20186
17
A Coupled User Clustering Algorithm for Web-Based Learning Systems.
20162
18
Novel Boosting Frameworks to Improve the Performance of Collaborative Filtering
20138
19
Reconstruct Logical Hierarchical Sitemap for Related Entity Finding
20105
20
BIT at TREC 2010 Blog Track: Faceted Blog Distillation.
20102

About Zhendong Niu

Zhendong Niu is a scholar working on Information Systems, Software and Artificial Intelligence, having authored 226 papers that have together received 4.0k indexed citations. Recurring topics across this work include Topic Modeling (38 papers), Recommender Systems and Techniques (38 papers), Advanced Text Analysis Techniques (24 papers), Sentiment Analysis and Opinion Mining (24 papers), Text and Document Classification Technologies (20 papers), Software Engineering Research (18 papers), Web Data Mining and Analysis (17 papers) and Online Learning and Analytics (15 papers). The work is most often cited by research in Computer Science Applications (645 citations), Information Systems (1.8k citations) and Software (260 citations). Zhendong Niu has collaborated with scholars based in China, United States and Tanzania. Frequent co-authors include John K. Tarus, Shanshan Wan, Abdallah Yousif, Ghulam Mustafa, Yifan Zhu, Zahid Khan, Hao Lü, Chunxia Zhang, Hui Liu and Kaize Shi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

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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