Zi Xu

31 papers receiving 275 citations

Peers

Zi Xu
Comparison fields: 5 of 55
  • Numerical Analysis 43
  • Control and Systems Engineering 90
  • Computational Mechanics 45
  • Computational Theory and Mathematics 33
  • Mechanical Engineering 74
Replace Zoran D. Jeličić with:
Zoran D. Jeličić Serbia
M. Tomás-Rodrı́guez United Kingdom
Xiang Wu China
Marta Zagórowska Poland
G. Thierauf Germany
Feng Ding China
Najeh Ben Guedria Tunisia
Claudia Schmid United States
Hai-Le Bui Vietnam
Hiroyuki Kajiwara Japan
Zi Xu relative to Zoran D. Jeličić Serbia Zoran D. Jeličić's profile →
Citations per field
00.5×7.5×
Zoran D. Jeličić · 1×
Citations per year

Countries citing papers authored by Zi Xu

Since Specialization
Citations

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

Fields of papers citing papers by Zi Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201751
2 202238
3 201828
4 202327
5 202319
6 202117
7 201412
8
A Stochastic Approximation Frame Algorithm with Adaptive Directions
200811
9 201111
10 201310
11 20099
12 20148
13 20207
14 20155
15 20224
16 20124
17 20223
18 20203
19 20122
20 20172

About Zi Xu

Zi Xu is a scholar working on Computational Mechanics, Numerical Analysis, Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 35 papers that have together received 284 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (13 papers), Advanced Optimization Algorithms Research (12 papers), Stochastic Gradient Optimization Techniques (6 papers), Optimization and Variational Analysis (5 papers), Complexity and Algorithms in Graphs (5 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers), Hydraulic and Pneumatic Systems (3 papers) and Oil and Gas Production Techniques (3 papers). The work is most often cited by research in Numerical Analysis (43 citations), Control and Systems Engineering (90 citations), Computational Mechanics (45 citations), Computational Theory and Mathematics (33 citations) and Mechanical Engineering (74 citations). Zi Xu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Qun Chao, Mingyi Hong, Chengliang Liu, Jianfeng Tao, Yijian Zhang, Emiliano Dall’Anese, Yu‐Hong Dai, Sairaj V. Dhople, Jianfeng Tao and Shuo Ding. Their work appears in journals such as Optimization Letters, SIAM Journal on Optimization, Journal of Global Optimization, IEEE Journal on Selected Areas in Communications and Computational Optimization and Applications.

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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