Hung-Sheng Chang

423 total citations
19 papers, 322 citations indexed

About

Hung-Sheng Chang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Hardware and Architecture. According to data from OpenAlex, Hung-Sheng Chang has authored 19 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 10 papers in Electrical and Electronic Engineering and 8 papers in Hardware and Architecture. Recurrent topics in Hung-Sheng Chang's work include Advanced Data Storage Technologies (10 papers), Parallel Computing and Optimization Techniques (8 papers) and Advanced Memory and Neural Computing (5 papers). Hung-Sheng Chang is often cited by papers focused on Advanced Data Storage Technologies (10 papers), Parallel Computing and Optimization Techniques (8 papers) and Advanced Memory and Neural Computing (5 papers). Hung-Sheng Chang collaborates with scholars based in Taiwan and Hong Kong. Hung-Sheng Chang's co-authors include Hsiang-Pang Li, Han-Wen Hu, Hsiang-Yun Cheng, Chia-Lin Yang, Tzu-Hsien Yang, Yuan-Hao Chang, Tei‐Wei Kuo, Hang-Ting Lue, Keh-Chung Wang and Wei‐Ting Lin and has published in prestigious journals such as Biomedical Optics Express, ACM Transactions on Embedded Computing Systems and ACM Transactions on Design Automation of Electronic Systems.

In The Last Decade

Hung-Sheng Chang

19 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hung-Sheng Chang Taiwan	9	223	91	88	80	70	19	322
Biresh Kumar Joardar United States	12	230 1.0×	89 1.0×	101 1.1×	80 1.0×	103 1.5×	39	332
Aaron Stillmaker United States	6	219 1.0×	131 1.4×	143 1.6×	85 1.1×	102 1.5×	11	406
Vikram Jain Belgium	8	169 0.8×	70 0.8×	66 0.8×	83 1.0×	47 0.7×	23	264
Qiaosha Zou China	9	392 1.8×	154 1.7×	148 1.7×	58 0.7×	62 0.9×	26	510
Zheng Qu United States	9	114 0.5×	65 0.7×	59 0.7×	120 1.5×	137 2.0×	17	294
Ravi Jenkal United States	6	271 1.2×	179 2.0×	146 1.7×	29 0.4×	70 1.0×	9	387
Bob Brennan South Korea	4	241 1.1×	141 1.5×	108 1.2×	82 1.0×	79 1.1×	7	332
Mahdi Nazm Bojnordi United States	12	364 1.6×	199 2.2×	169 1.9×	85 1.1×	118 1.7×	42	529
S. Karen Khatamifard United States	11	202 0.9×	98 1.1×	69 0.8×	20 0.3×	85 1.2×	19	305

Countries citing papers authored by Hung-Sheng Chang

Since Specialization

Citations

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

Fields of papers citing papers by Hung-Sheng Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung-Sheng Chang. 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 Hung-Sheng Chang. The network helps show where Hung-Sheng Chang may publish in the future.

Co-authorship network of co-authors of Hung-Sheng Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Hung-Sheng Chang. A scholar is included among the top collaborators of Hung-Sheng Chang 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 Hung-Sheng Chang. Hung-Sheng Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Lin, Wei‐Ting, Hsiang-Yun Cheng, Chia-Lin Yang, et al.. (2022). DL-RSIM: A Reliability and Deployment Strategy Simulation Framework for ReRAM-based CNN Accelerators. ACM Transactions on Embedded Computing Systems. 21(3). 1–29. 11 indexed citations

Lu, Chih-Wei, et al.. (2021). Mirau-type full-field optical coherence tomography with switchable partially spatially coherent illumination modes. Biomedical Optics Express. 12(5). 2670–2670. 8 indexed citations

Chang, Hung-Sheng, et al.. (2021). In vivo dual-mode full-field optical coherence tomography for differentiation of different types of melanocytic nevus. 8–8. 2 indexed citations

Hsu, Tzu‐Hsuan, Hang-Ting Lue, Pei-Ying Du, et al.. (2019). Study of Self-Healing 3D NAND Flash with Micro Heater to Improve the Performances and Lifetime for Fast NAND in NVDIMM Applications. 1–4. 6 indexed citations

Yang, Tzu-Hsien, Hsiang-Yun Cheng, Chia-Lin Yang, et al.. (2019). Sparse ReRAM engine. 236–249. 113 indexed citations

Wang, Wei-Chen, et al.. (2019). Achieving Lossless Accuracy with Lossy Programming for Efficient Neural-Network Training on NVM-Based Systems. ACM Transactions on Embedded Computing Systems. 18(5s). 1–22. 17 indexed citations

Cheng, Hsiang-Yun, Wei‐Ting Lin, Tzu-Hsien Yang, et al.. (2018). DL-RSIM. 1–8. 58 indexed citations

Lue, Hang-Ting, Wei-Chen Chen, Hung-Sheng Chang, Keh-Chung Wang, & Chih‐Yuan Lu. (2018). A Novel 3D AND-type NVM Architecture Capable of High-density, Low-power In-Memory Sum-of-Product Computation for Artificial Intelligence Application. 177–178. 27 indexed citations

Chang, Hung-Sheng, Hang-Ting Lue, Yuan-Hao Chang, et al.. (2018). System Performance Analysis of Bit-Alterable 3D NAND Flash Devices for High-Performance Solid-State Drive (SSD) Applications. 1–4. 4 indexed citations

10.

Chang, Hung-Sheng, Yuan-Hao Chang, Tei‐Wei Kuo, Yu-Ming Chang, & Hsiang-Pang Li. (2016). A disturbance-aware sub-block design to improve reliability of 3D MLC flash memory. 1–10. 8 indexed citations

11.

Chang, Hung-Sheng, et al.. (2016). Pattern-aware write-back strategy to minimize energy consumption of PCM-based storage systems. 1–6. 5 indexed citations

12.

Chang, Hung-Sheng, Yuan-Hao Chang, Tei‐Wei Kuo, & Hsiang-Pang Li. (2015). A Light-Weighted Software-Controlled Cache for PCM-based Main Memory Systems. International Conference on Computer Aided Design. 22–29. 12 indexed citations

13.

Chang, Yuan-Hao, et al.. (2015). How to improve the space utilization of dedup-based PCM storage devices?. 11–20. 3 indexed citations

14.

Chang, Hung-Sheng, Yuan-Hao Chang, Tei‐Wei Kuo, & Hsiang-Pang Li. (2015). A light-weighted software-controlled cache for PCM-based main memory systems. 99 1. 22–29. 6 indexed citations

15.

Chang, Hung-Sheng, Yuan-Hao Chang, Pi-Cheng Hsiu, Tei‐Wei Kuo, & Hsiang-Pang Li. (2015). Marching-Based Wear-Leveling for PCM-Based Storage Systems. ACM Transactions on Design Automation of Electronic Systems. 20(2). 1–22. 20 indexed citations

16.

Chang, Yuan-Hao, et al.. (2015). How to improve the space utilization of dedup-based PCM storage devices?. 11–20. 1 indexed citations

17.

Chen, Lin‐Yu, et al.. (2015). Development of an Angular Displacement Measurement by Birefringence Heterodyne Interferometry. Smart Science. 3(4). 188–192. 6 indexed citations

18.

Chang, Yuan-Hao, et al.. (2014). A PCM translation layer for integrated memory and storage management. 1–10. 14 indexed citations

19.

Chang, Hung-Sheng, et al.. (2013). The fast measurement of a mild asphere by the vibration-modulated sub-aperture stitching interferometer. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8838. 88380C–88380C. 1 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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