Ning Gu

2.1k citations
143 papers · 1.2k · h-index 20

Impact in

Papers in

Ning Gu

127 papers receiving 1.2k citations

Peers

Ning Gu
Comparison fields: 5 of 109
  • Human-Computer Interaction 198
  • Information Systems 659
  • Computer Science Applications 99
  • Artificial Intelligence 458
  • Computer Networks and Communications 277
Replace Tun Lu with:
Tun Lu China
Kami Vaniea United Kingdom
Derek McAuley United Kingdom
Helen Ashman Australia
Arosha K. Bandara United Kingdom
Liliana Ardissono Italy
Mária Bieliková Slovakia
Sally Jo Cunningham New Zealand
Ignacio Aedo Spain
Amos Azaria Israel
Ning Gu relative to Tun Lu China Tun Lu's profile →
Citations per field
00.5×1.5×1.9×
Tun Lu · 1×
Citations per year

Countries citing papers authored by Ning Gu

Since Specialization
Citations

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

Fields of papers citing papers by Ning Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201479
2 201550
3 201643
4 200543
5 201640
6 201536
7 201135
8 202025
9 200523
10 201623
11 201722
12 202121
13 202221
14 202121
15 201120
16 201420
17 201620
18 201120
19 201020
20 201619

About Ning Gu

Ning Gu is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Human-Computer Interaction and Sociology and Political Science, having authored 143 papers that have together received 1.2k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (37 papers), Service-Oriented Architecture and Web Services (28 papers), Usability and User Interface Design (13 papers), Distributed systems and fault tolerance (11 papers), Topic Modeling (11 papers), Caching and Content Delivery (11 papers), Distributed and Parallel Computing Systems (11 papers) and Advanced Graph Neural Networks (10 papers). The work is most often cited by research in Human-Computer Interaction (198 citations), Information Systems (659 citations), Computer Science Applications (99 citations), Artificial Intelligence (458 citations) and Computer Networks and Communications (277 citations). Ning Gu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Tun Lu, Dongsheng Li, Xianghua Ding, Hansu Gu, Li Shang, Qin Lv, Peng Zhang, Jiang-Ming Yang, Canbing Li and Bin Shao. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Knowledge-Based Systems, ACM Transactions on the Web, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and International Journal of Human-Computer Interaction.

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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