Mong‐Na Lo Huang

643 citations
35 papers · 479 indexed · h-index 9
Topics
Optimal Experimental Design Methods (17 papers)Advanced Multi-Objective Optimization Algorithms (10 papers)Advanced Statistical Process Monitoring (7 papers)
Partner nations
TaiwanChinaGermany

In The Last Decade

Mong‐Na Lo Huang

31 papers receiving 450 citations

Peers

Mong‐Na Lo Huang
Comparison fields: 5 of 81
  • Surgery 203
  • Industrial and Manufacturing Engineering 112
  • Management Science and Operations Research 73
  • Epidemiology 64
  • Computational Theory and Mathematics 49
Replace Shu Liu with:
Shu Liu China
P. Patrick Wang United States
John G. Carney Ireland
Robert N. Lea United States
Yale Zhang Canada
M. Cruz-Ramírez Spain
Fengyi Zhang China
Behrooz Mamandipoor Italy
Melissa Meeker United States
Daizheng Huang China
Mong‐Na Lo Huang relative to Shu Liu China Shu Liu's profile →
Citations per field
00.5×10×20×25.4×
Shu Liu · 1×
Citations per year

Countries citing papers authored by Mong‐Na Lo Huang

Since Specialization
Citations

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

Fields of papers citing papers by Mong‐Na Lo Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mong‐Na Lo Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Mong‐Na Lo Huang. A scholar is included among the top collaborators of Mong‐Na Lo 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 Mong‐Na Lo Huang. Mong‐Na Lo 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 1
2 0
3 1
4 6
5 7
6 2
7 3
8 1
9 3
10 1
11 8
12 1
13 189
14 2
15 3
16 3
17 6
18 15
19 9
20 2

About Mong‐Na Lo Huang

Mong‐Na Lo Huang is a scholar working on Management Science and Operations Research, Statistics and Probability and Statistics, Probability and Uncertainty, having authored 35 papers that have together received 479 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (17 papers), Advanced Multi-Objective Optimization Algorithms (10 papers) and Advanced Statistical Process Monitoring (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (112 citations), Management Science and Operations Research (73 citations) and Statistics and Probability (43 citations). Mong‐Na Lo Huang has collaborated with scholars based in Taiwan, China and Germany. Frequent co-authors include Lei Yang, Yur‐Ren Kuo, Seng‐Feng Jeng, Ming-Chung Yeh, Yuan‐Cheng Chiang, Mei-Hui Kuo, Fu‐Chan Wei, Chuan-Pin Lee, Wen‐Jang Huang and Miao Bai-qi. Their work appears in journals such as Statistics in Medicine, Plastic & Reconstructive Surgery and Ecological Engineering.

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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