Chien‐Feng Huang

717 citations
52 papers · 448 indexed · h-index 10
Topics
Stock Market Forecasting Methods (16 papers)Financial Markets and Investment Strategies (12 papers)Metaheuristic Optimization Algorithms Research (8 papers)

In The Last Decade

Chien‐Feng Huang

46 papers receiving 423 citations

Peers

Chien‐Feng Huang
Comparison fields: 5 of 65
  • Management Science and Operations Research 204
  • Finance 111
  • Artificial Intelligence 108
  • Economics and Econometrics 95
  • Electrical and Electronic Engineering 78
Replace Leandro Maciel with:
Leandro Maciel Brazil
Yada Zhu United States
Avraam Tsantekidis Greece
Rodolfo C. Cavalcante Brazil
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Tomáš Tichý Czechia
Majid Vafaei Jahan Iran
Tai-Liang Chen Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Chien‐Feng Huang

Since Specialization
Citations

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

Fields of papers citing papers by Chien‐Feng Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien‐Feng Huang. 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 Chien‐Feng Huang. The network helps show where Chien‐Feng Huang may publish in the future.

Co-authorship network of co-authors of Chien‐Feng Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Chien‐Feng Huang. A scholar is included among the top collaborators of Chien‐Feng Huang 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 Chien‐Feng Huang. Chien‐Feng Huang 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 10
2 3
3 20
4 1
5 4
6
Improving Histogram-based Reversible Information Hiding by an Optimal Weight-based Prediction Scheme.
27
7
A Multi-objective Genetic Model for Stock Selection
2
8 1
9
Rapid Access Control on Ubuntu Cloud Computing with Facial Recognition and Fingerprint Identification.
12
10 5
11 0
12 4
13 14
14 1
15 0
16 26
17
A Markov Chain Analysis Of Fitness Proportional Mate Selection Schemes In Genetic Algorithm
3
18
A study of mate selection in genetic algorithms.
5
19 5
20
Independent sampling genetic algorithms and the applications
0

About Chien‐Feng Huang

Chien‐Feng Huang is a scholar working on Management Science and Operations Research, Finance and Signal Processing, having authored 52 papers that have together received 448 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (16 papers), Financial Markets and Investment Strategies (12 papers) and Metaheuristic Optimization Algorithms Research (8 papers). The work is most often cited by research in Management Science and Operations Research (204 citations), Finance (111 citations) and Economics and Econometrics (95 citations). Chien‐Feng Huang has collaborated with scholars based in Taiwan, United States and Argentina. Frequent co-authors include Bao Rong Chang, Chih‐Hsiang Chang, Yu‐Feng Lin, Vincent S. Tseng, David H. Wolpert, Stefan Bieniawski, Charlie E. M. Strauss, Chengwei Wu, Chi‐Chung Chen and Chi-Ming Chen. Their work appears in journals such as Expert Systems with Applications, Applied Soft Computing and Urology.

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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