Zhen Tu

856 citations
34 papers · 520 · h-index 12

Impact in

Papers in

Zhen Tu

32 papers receiving 509 citations

Peers

Zhen Tu
Comparison fields: 5 of 85
  • Transportation 159
  • Artificial Intelligence 210
  • Computer Science Applications 31
  • Information Systems 96
  • Signal Processing 41
Replace Yu-Ling Hsueh with:
Yu-Ling Hsueh Taiwan
Fei Yi China
Bin Guo China
Lorenzo Bracciale Italy
Menglin Li China
Feng Zhu United States
Marco Zappatore Italy
Iqbal Mohomed United States
Yunhe Feng United States
Antonio A. F. Loureiro Brazil
Zhen Tu relative to Yu-Ling Hsueh Taiwan Yu-Ling Hsueh's profile →
Citations per field
00.5×1.5×2.3×
Yu-Ling Hsueh · 1×
Citations per year

Countries citing papers authored by Zhen Tu

Since Specialization
Citations

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

Fields of papers citing papers by Zhen Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202284
2 201877
3 201766
4 201859
5 201637
6 201832
7 201728
8 201320
9 201918
10 201913
11 201913
12 202112
13 20199
14 20246
15 20196
16 20245
17 20195
18 20215
19 20224
20 20213

About Zhen Tu

Zhen Tu is a scholar working on Transportation, Artificial Intelligence, Electrical and Electronic Engineering, Aerospace Engineering and Civil and Structural Engineering, having authored 34 papers that have together received 520 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (13 papers), Privacy-Preserving Technologies in Data (9 papers), Concrete and Cement Materials Research (5 papers), Privacy, Security, and Data Protection (5 papers), Antenna Design and Analysis (4 papers), Recommender Systems and Techniques (4 papers), Innovative concrete reinforcement materials (3 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). The work is most often cited by research in Transportation (159 citations), Artificial Intelligence (210 citations), Computer Science Applications (31 citations), Information Systems (96 citations) and Signal Processing (41 citations). Zhen Tu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yong Li, Depeng Jin, Fengli Xu, Li Su, Pan Hui, Pengyu Zhang, Sasu Tarkoma, Tong Li, Zhu Han and Huandong Wang. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Transactions on Network and Service Management, IEEE Transactions on Mobile Computing, Buildings and Construction and Building Materials.

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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