Hark‐Chin Hwang

26 papers receiving 350 citations

Peers

Hark‐Chin Hwang
Comparison fields: 5 of 28
  • Industrial and Manufacturing Engineering 315
  • Computer Networks and Communications 144
  • Management Information Systems 138
  • Strategy and Management 45
  • Management Science and Operations Research 29
Replace Martin Feldmann with:
Martin Feldmann Germany
Guruprasad Pundoor United States
Guoqing Wang China
Marie‐Claude Portmann France
Kumar Bhaskaran United States
Sergey Kovalev France
M. Karimi-Nasab Iran
H.M. Soroush Kuwait
Chunrong Zuo China
Paul M. Bobrowski United States
Hark‐Chin Hwang relative to Martin Feldmann Germany Martin Feldmann's profile →
Citations per field
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Martin Feldmann · 1×
Citations per year

Countries citing papers authored by Hark‐Chin Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Hark‐Chin Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hark‐Chin Hwang. 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 Hark‐Chin Hwang. The network helps show where Hark‐Chin Hwang may publish in the future.

Co-authorship network of co-authors of Hark‐Chin Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Hark‐Chin Hwang. A scholar is included among the top collaborators of Hark‐Chin Hwang 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 Hark‐Chin Hwang. Hark‐Chin Hwang 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 0
2 6
3 10
4 7
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6 0
7
Two-Stage Lot-Sing Problem with inventory Bound in Production
1
8
Note on "An efficient approach for solving the lot-sizing problem with time-varying storage capacities"
12
9
A Dynamic Lot-Sizing Problem with Backlogging for Minimum Replenishment Policy
2
10 14
11
최소공급량 정책을 위한 추후조달 롯사이징 문제
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12
An Improved Algorithm for a Capacitated Dynamic Lot-Sizing Problem with Two-Stage Supply Chain
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13
An Improved Algorithm for Lot-Sizing Problem with Warehouse Capacity
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14 28
15 3
16 12
17 16
18
2-Approximation Algorithm for Parallel Machine Scheduling with Consecutive Eligibility
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19 17
20 27

About Hark‐Chin Hwang

Hark‐Chin Hwang is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Computer Networks and Communications, having authored 32 papers that have together received 362 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (23 papers), Supply Chain and Inventory Management (20 papers) and Advanced Manufacturing and Logistics Optimization (13 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (315 citations), Management Information Systems (138 citations) and Computer Networks and Communications (144 citations). Hark‐Chin Hwang has collaborated with scholars based in South Korea, Netherlands and United States. Frequent co-authors include Soo Y. Chang, Kangbok Lee, Wikrom Jaruphongsa, Wilco van den Heuvel, Albert Wagelmans, José M. Gutiérrez, Sıla Çetinkaya, Yushin Hong, Philip Kaminsky and Hyun‐Soo Ahn. Their work appears in journals such as European Journal of Operational Research, Operations Research and International Journal of Production Economics.

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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