Hang–Chin Lai

458 citations
50 papers · 324 indexed · h-index 11
Topics
Optimization and Variational Analysis (24 papers)Advanced Optimization Algorithms Research (14 papers)Optimization and Mathematical Programming (10 papers)
Partner nations
TaiwanJapanUnited States

In The Last Decade

Hang–Chin Lai

46 papers receiving 288 citations

Peers

Hang–Chin Lai
Comparison fields: 5 of 38
  • Computational Theory and Mathematics 239
  • Numerical Analysis 143
  • Control and Systems Engineering 122
  • Applied Mathematics 49
  • Mathematical Physics 45
Replace J. Zafarani with:
J. Zafarani Iran
Adam B. Levy United States
Ivan Ginchev Italy
Karl‐Heinz Elster Germany
Jean-Baptiste Hiriart-Urruty France
A. A. Milyutin
D. Azé France
Enrico Miglierina Italy
S. R. Mohan India
Alberto Zaffaroni Italy
Hang–Chin Lai relative to J. Zafarani Iran J. Zafarani's profile →
Citations per field
00.5×1.5×2.4×
J. Zafarani · 1×
Citations per year

Countries citing papers authored by Hang–Chin Lai

Since Specialization
Citations

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

Fields of papers citing papers by Hang–Chin Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hang–Chin Lai. 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 Hang–Chin Lai. The network helps show where Hang–Chin Lai may publish in the future.

Co-authorship network of co-authors of Hang–Chin Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Hang–Chin Lai. A scholar is included among the top collaborators of Hang–Chin Lai 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 Hang–Chin Lai. Hang–Chin Lai 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
A new characterization of minimax identity problem in a two-person zero-sum dynamic game system (Nonlinear Analysis and Convex Analysis)
0
2
Complex Analysis Methods Related an Optimization Problem with Complex Variables
2
3 3
4 2
5
Optimization analysis involving set functions.
2
6 1
7 2
8
Moreau-Rockafellar Type Theorems For Generalized Subgradient Operator*)
1
9
Optimality Conditions For Lipschitz Functions On Banach Spaces
1
10
Average-time Criterion For Vector-Valued Markovian Decision Systems
3
11 20
12 20
13 7
14 6
15 31
16 6
17 7
18
A CHARACTERIZATION OF THE MULTIPLIERS OF BANACH ALGEBRAS
1
19
Remark on the A p (G)-algebras
1
20
On Some Properties of A p (G)-algebras
1

About Hang–Chin Lai

Hang–Chin Lai is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Applied Mathematics, having authored 50 papers that have together received 324 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (24 papers), Advanced Optimization Algorithms Research (14 papers) and Optimization and Mathematical Programming (10 papers). The work is most often cited by research in Numerical Analysis (143 citations), Computational Theory and Mathematics (239 citations) and Control and Systems Engineering (122 citations). Hang–Chin Lai has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Kensuke Tanaka, Soon‐Yi Wu, Lai-Jiu Lin, Qamrul Hasan Ansari, Huimei Chen, Jung-Chih Chen and Jiawen Chen. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Numerische Mathematik and Annals of Operations Research.

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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