Hong-Dar Lin

725 total citations
68 papers, 546 citations indexed

About

Hong-Dar Lin is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Computational Mechanics. According to data from OpenAlex, Hong-Dar Lin has authored 68 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Industrial and Manufacturing Engineering, 25 papers in Management Information Systems and 20 papers in Computational Mechanics. Recurrent topics in Hong-Dar Lin's work include Industrial Vision Systems and Defect Detection (35 papers), Supply Chain and Inventory Management (24 papers) and Surface Roughness and Optical Measurements (20 papers). Hong-Dar Lin is often cited by papers focused on Industrial Vision Systems and Defect Detection (35 papers), Supply Chain and Inventory Management (24 papers) and Surface Roughness and Optical Measurements (20 papers). Hong-Dar Lin collaborates with scholars based in Taiwan, United States and Mexico. Hong-Dar Lin's co-authors include Yuan-Shyi Peter Chiu, Singa Wang Chiu, Feng‐Tsung Cheng, Meifang Wu, Toly Chen, Cheng-Li Liu, Victoria Chiu, Kuang-Ku Chen, Gary Lin and Fan‐Yun Pai and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Hong-Dar Lin

65 papers receiving 515 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hong-Dar Lin Taiwan 14 383 190 152 141 116 68 546
J.P. Prenninger Austria 8 65 0.2× 79 0.4× 59 0.4× 45 0.3× 23 0.2× 20 281
Jeng Feng Chin Malaysia 10 134 0.3× 106 0.6× 11 0.1× 89 0.6× 36 0.3× 44 322
Yau-Ren Shiau Taiwan 15 502 1.3× 53 0.3× 29 0.2× 15 0.1× 11 0.1× 36 581
Rómulo I. Zequeira France 13 57 0.1× 139 0.7× 8 0.1× 101 0.7× 41 0.4× 20 614
Tzyy‐Shuh Chang United States 10 177 0.5× 8 0.0× 67 0.4× 11 0.1× 51 0.4× 21 331
Z.D. Zhou China 11 191 0.5× 29 0.2× 44 0.3× 11 0.1× 47 0.4× 31 367
Sang Won Yoon United States 12 179 0.5× 15 0.1× 39 0.3× 11 0.1× 20 0.2× 28 336
Jaeyeon Jang South Korea 11 117 0.3× 12 0.1× 67 0.4× 13 0.1× 9 0.1× 21 270
Peng Zheng China 13 186 0.5× 22 0.1× 14 0.1× 21 0.1× 10 0.1× 31 403
Tarık Çakar Türkiye 10 97 0.3× 22 0.1× 54 0.4× 21 0.1× 7 0.1× 19 359

Countries citing papers authored by Hong-Dar Lin

Since Specialization
Citations

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

Fields of papers citing papers by Hong-Dar Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong-Dar Lin. 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 Hong-Dar Lin. The network helps show where Hong-Dar Lin may publish in the future.

Co-authorship network of co-authors of Hong-Dar Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Hong-Dar Lin. A scholar is included among the top collaborators of Hong-Dar Lin 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 Hong-Dar Lin. Hong-Dar Lin 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
1.
2.
Lin, Hong-Dar, et al.. (2025). A Deep Transfer Learning-Based Visual Inspection System for Assembly Defects in Similar Types of Manual Tool Products. Sensors. 25(6). 1645–1645. 2 indexed citations
3.
4.
Lin, Hong-Dar, et al.. (2024). Visual defect inspection of touch screens using multi-angle filtering in curvelet domain. Heliyon. 10(13). e33607–e33607.
5.
Lin, Hong-Dar, et al.. (2023). Optical Imaging Deformation Inspection and Quality Level Determination of Multifocal Glasses. Sensors. 23(9). 4497–4497. 3 indexed citations
6.
Lin, Hong-Dar, et al.. (2023). Vision based deformation inspection system for automotive glass using Hough circle detectors. Journal of Applied Research and Technology. 21(4). 598–612. 1 indexed citations
7.
Lin, Hong-Dar, et al.. (2023). Optical Panel Inspection Using Explicit Band Gaussian Filtering Methods in Discrete Cosine Domain. Sensors. 23(3). 1737–1737. 2 indexed citations
8.
Lin, Hong-Dar, et al.. (2022). Incorporating Visual Defect Identification and Determination of Occurrence Side in Touch Panel Quality Inspection. IEEE Access. 10. 90213–90228. 2 indexed citations
9.
Lin, Hong-Dar, et al.. (2022). Multi-item fabrication-shipment decision model featuring multi-delivery, postponement, quality assurance, and overtime. Uncertain Supply Chain Management. 10(3). 1041–1054. 3 indexed citations
10.
Chiu, Yuan-Shyi Peter, et al.. (2021). Multiproduct Fabrication-Shipment Decision Making Incorporating an Accelerated Rate and Ensured Product Quality. Management and Production Engineering Review. 1 indexed citations
11.
Chiu, Singa Wang, et al.. (2015). An Extended EPQ‐Based Problem with a Discontinuous Delivery Policy, Scrap Rate, and Random Breakdown. The Scientific World JOURNAL. 2015(1). 621978–621978. 2 indexed citations
12.
Chiu, Yuan-Shyi Peter, Hong-Dar Lin, Singa Wang Chiu, & Kuang-Ku Chen. (2013). Solving a Multi-Item Finite Production Rate Model with Scrap and Multi-Shipment Policy without Derivatives. Research Journal of Applied Sciences Engineering and Technology. 11(9). 2036–2041. 1 indexed citations
13.
Lin, Hong-Dar, et al.. (2011). A visual inspection system for quality control of optical lenses. International Journal of the Physical Sciences. 6(11). 2701–2709. 6 indexed citations
14.
Lin, Hong-Dar & Singa Wang Chiu. (2011). Automated surface micro flaw inspection for quality control of electronic chips. International Journal of the Physical Sciences. 6(23). 5528–5539. 1 indexed citations
15.
Chiu, Singa Wang, et al.. (2011). Determining replenishment lot size and shipment policy for an extended EPQ model with delivery and quality assurance issues. Scientia Iranica. 18(6). 1537–1544. 18 indexed citations
16.
Chiu, Yuan-Shyi Peter, et al.. (2011). Mathematical modeling for solving manufacturing run time problem with defective rate and random machine breakdown. Computers & Industrial Engineering. 60(4). 576–584. 17 indexed citations
17.
Lin, Hong-Dar, et al.. (2008). Wavelet-based neural network and statistical approaches applied to automated visual inspection of LED chips. Journal of Scientific & Industrial Research. 67(6). 412–420. 3 indexed citations
18.
Lin, Hong-Dar, et al.. (2008). Principal component analysis based on wavelet characteristics applied to automated surface defect inspection. WSEAS Transactions on Computers archive. 3(4). 193–202. 18 indexed citations
19.
Lin, Hong-Dar, et al.. (2008). A note on optimal replenishment policy for imperfect quality EMQ model with rework and backlogging. Computers & Mathematics with Applications. 56(11). 2819–2824. 27 indexed citations
20.
Lin, Gary & Hong-Dar Lin. (2007). Determining a production run time for an imperfect production-inventory system with scrap. Journal of Scientific & Industrial Research. 66(9). 724–735. 4 indexed citations

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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