Zhi Tian

212 papers receiving 11.8k citations

Hit Papers

FCOS: Fully Convolutional O...20052026201220192019200520202007202010002.0k3.0k

Peers

Zhi Tian
Comparison fields: 5 of 159
  • Computer Vision and Pattern Recognition 4.7k
  • Electrical and Electronic Engineering 4.2k
  • Computer Networks and Communications 2.8k
  • Aerospace Engineering 2.5k
  • Artificial Intelligence 2.2k
Replace Guan Gui with:
Guan Gui China
Erik Blasch United States
Niki Trigoni United Kingdom
Avideh Zakhor United States
Seth Teller United States
Fredrik Gustafsson Sweden
Hongwei Liu China
Stephen J. Maybank United Kingdom
Changyin Sun China
Andrew G. Dempster Australia
Zhi Tian relative to Guan Gui China Guan Gui's profile →
Citations per field
00.5×3.3×
Guan Gui · 1×
Citations per year

Countries citing papers authored by Zhi Tian

Since Specialization
Citations

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

Fields of papers citing papers by Zhi Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhi Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Zhi Tian. A scholar is included among the top collaborators of Zhi Tian 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 Zhi Tian. Zhi Tian 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 12
2 0
3 1
4 0
5 24
6 3
7 1
8 11
9 31
10 148
11 10
12 20
13
FCOS: Fully Convolutional One-Stage Object Detectionbreakdown →
3976
14 61
15 68
16 35
17
Optimal asset allocation with mutual information
1
18 19
19
A decentralized Gauss-Seidel approach for in-network sparse signal recovery
2
20
Compressed Sensing for Wideband Cognitive Radiosbreakdown →
507

About Zhi Tian

Zhi Tian is a scholar working on Computer Networks and Communications, Signal Processing and Computational Mechanics, having authored 226 papers that have together received 12.3k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (44 papers), Cognitive Radio Networks and Spectrum Sensing (31 papers) and Ultra-Wideband Communications Technology (29 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.7k citations), Signal Processing (1.4k citations) and Computer Networks and Communications (2.8k citations). Zhi Tian has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Chunhua Shen, Hao Chen, Tong He, Georgios B. Giannakis, H. Vincent Poor, Sinan Gezici, Andreas F. Molisch, Hiroshi Kobayashi, Z. Şahinoğlu and Qing Ling. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and IEEE Transactions on Signal Processing.

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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