Mao-Ting Chien

65 papers receiving 403 citations

Peers

Mao-Ting Chien
Comparison fields: 5 of 29
  • Algebra and Number Theory 124
  • Applied Mathematics 229
  • Computational Theory and Mathematics 357
  • Numerical Analysis 72
  • Geometry and Topology 114
Replace Hiroshi Nakazato with:
Hiroshi Nakazato Japan
Hwa-Long Gau Taiwan
Igor Klep Slovenia
Minghua Lin Canada
Sivaram K. Narayan United States
F‎. ‎E‎. Levis Argentina
Adam Parusiński France
Huihui Zhu China
Leonid Golinskiĭ Ukraine
D. E. Ferreyra Argentina
Mao-Ting Chien relative to Hiroshi Nakazato Japan Hiroshi Nakazato's profile →
Citations per field
00.5×1.6×
Hiroshi Nakazato · 1×
Citations per year

Countries citing papers authored by Mao-Ting Chien

Since Specialization
Citations

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

Fields of papers citing papers by Mao-Ting Chien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mao-Ting Chien. 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 Mao-Ting Chien. The network helps show where Mao-Ting Chien may publish in the future.

Co-authors

The 15 scholars most cited alongside Mao-Ting Chien, 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 Mao-Ting Chien Line = papers co-authored together Mao-Ting Chien links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199624
2 200224
3 199422
4 199921
5 199818
6 200216
7 201215
8 200914
9 201013
10 200712
11 201512
12 200211
13 199811
14 201810
15 201110
16 201310
17 20159
18 20099
19 20069
20 20138

About Mao-Ting Chien

Mao-Ting Chien is a scholar working on Computational Theory and Mathematics, Applied Mathematics, Geometry and Topology, Numerical Analysis and Algebra and Number Theory, having authored 79 papers that have together received 437 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (63 papers), Algebraic and Geometric Analysis (20 papers), Advanced Mathematical Theories and Applications (19 papers), Advanced Optimization Algorithms Research (19 papers), Advanced Topics in Algebra (19 papers), Holomorphic and Operator Theory (15 papers), Mathematics and Applications (13 papers) and Advanced Numerical Analysis Techniques (7 papers). The work is most often cited by research in Algebra and Number Theory (124 citations), Applied Mathematics (229 citations), Computational Theory and Mathematics (357 citations), Numerical Analysis (72 citations) and Geometry and Topology (114 citations). Mao-Ting Chien has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Hiroshi Nakazato, Bit-Shun Tam, Panayiotis Psarrakos, Mohammad Sal Moslehian, Ali Zamani, Jie Meng, Ming-Cheng Tsai, Chi-Kwong Li, Hwa-Long Gau and Pei Yuan Wu. Their work appears in journals such as Linear Algebra and its Applications, Electronic Journal of Linear Algebra, Applied Mathematics Letters, Journal of Mathematical Analysis and Applications and Applied Mathematics and Computation.

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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