Tianqi Zhang

1.4k citations
138 papers · 1.0k indexed · h-index 18

Tianqi Zhang

122 papers receiving 1.0k citations

Peers

Tianqi Zhang
Comparison fields: 5 of 84
  • Statistics, Probability and Uncertainty 207
  • Statistical and Nonlinear Physics 331
  • Signal Processing 170
  • Computer Networks and Communications 247
  • Computer Vision and Pattern Recognition 183
Replace Giorgio Picci with:
Giorgio Picci Italy
Tohru Katayama Japan
P. Agathoklis Canada
P.M. Mäkilä Finland
Li Xu Japan
Jonathan Rogers United States
P.N. Paraskevopoulos Greece
Zijian Qiao China
Makan Fardad United States
Cristian R. Rojas Sweden
Tianqi Zhang relative to Giorgio Picci Italy Giorgio Picci's profile →
Citations per field
00.5×5.1×
Giorgio Picci · 1×
Citations per year

Countries citing papers authored by Tianqi Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Tianqi Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
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16
Symbol duration blind estimation of OFDM signals with low SNR
20101
17
Cyclic spectrum analysis and parameters estimation of OFDM signals
20101
18
A New Algorithm of Blind Pixels Processing for IRFPA
20081
19
Improvement on Multi-point Correction Method of IRFPA
20070
20
A new method for periodic and sequence estimation of the PN code in the lower SNR DS/SS signals
20052

About Tianqi Zhang

Tianqi Zhang is a scholar working on Signal Processing, Statistics, Probability and Uncertainty and Statistical and Nonlinear Physics, having authored 138 papers that have together received 1.0k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (36 papers), stochastic dynamics and bifurcation (30 papers), Probabilistic and Robust Engineering Design (21 papers), Wireless Communication Networks Research (18 papers), Speech and Audio Processing (17 papers), Advanced Adaptive Filtering Techniques (16 papers), Chaos control and synchronization (13 papers) and Wireless Signal Modulation Classification (12 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (207 citations), Statistical and Nonlinear Physics (331 citations) and Signal Processing (170 citations). Tianqi Zhang has collaborated with scholars based in China, Denmark and United States. Frequent co-authors include Gang Zhang, Gang Zhang, Tiecheng Song, Gang Zhang, Shaosheng Dai, Chenqiang Gao, Lifang He, Hui Zhao, Chen Yi and Bin Shen. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Power Electronics and Optics Express.

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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