En-Jui Chang

757 total citations
32 papers, 519 citations indexed

About

En-Jui Chang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, En-Jui Chang has authored 32 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 22 papers in Computer Networks and Communications and 6 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in En-Jui Chang's work include Interconnection Networks and Systems (18 papers), Advanced Memory and Neural Computing (11 papers) and VLSI and FPGA Design Techniques (6 papers). En-Jui Chang is often cited by papers focused on Interconnection Networks and Systems (18 papers), Advanced Memory and Neural Computing (11 papers) and VLSI and FPGA Design Techniques (6 papers). En-Jui Chang collaborates with scholars based in Taiwan, China and United States. En-Jui Chang's co-authors include An-Yeu Wu, Kun-Chih Chen, Shu-Yen Lin, An-Yeu Wu, Abbas Rahimi, Luca Benini, Chih-Hao Chao, Yu-Yin Chen, Meng‐Fang Lin and You‐Chiun Wang and has published in prestigious journals such as Oncogene, Sensors and Actuators B Chemical and IEEE Transactions on Computers.

In The Last Decade

En-Jui Chang

32 papers receiving 504 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
En-Jui Chang Taiwan	15	309	304	120	64	60	32	519
Gwan Choi United States	12	392 1.3×	351 1.2×	119 1.0×	20 0.3×	59 1.0×	66	504
Wai Teng Tang Singapore	13	103 0.3×	125 0.4×	127 1.1×	27 0.4×	61 1.0×	22	444
Po-Tsang Huang Taiwan	14	451 1.5×	174 0.6×	155 1.3×	11 0.2×	54 0.9×	93	638
Kexin Yang China	13	235 0.8×	89 0.3×	23 0.2×	104 1.6×	29 0.5×	77	506
Rino Micheloni Italy	19	564 1.8×	743 2.4×	251 2.1×	14 0.2×	118 2.0×	65	1.1k
Xiaochen Guo United States	13	396 1.3×	221 0.7×	259 2.2×	9 0.1×	58 1.0×	37	603
Adam Teman Israel	23	1.2k 3.7×	225 0.7×	363 3.0×	13 0.2×	50 0.8×	112	1.3k
Sohaib Majzoub United Arab Emirates	10	164 0.5×	59 0.2×	58 0.5×	7 0.1×	65 1.1×	54	372
Marco Lanuzza Italy	23	1.4k 4.7×	128 0.4×	310 2.6×	26 0.4×	79 1.3×	133	1.7k
Mehdi Modarressi Iran	15	341 1.1×	479 1.6×	382 3.2×	88 1.4×	35 0.6×	68	674

Countries citing papers authored by En-Jui Chang

Since Specialization

Citations

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

Fields of papers citing papers by En-Jui Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of En-Jui Chang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chang, En-Jui, et al.. (2025). Flexible and highly conductive graphene oxide for multi-stimulus responsive bilayer soft actuators. Sensors and Actuators B Chemical. 433. 137521–137521. 3 indexed citations

Chang, En-Jui & Meng‐Fang Lin. (2024). Enhanced actuation performance of multiple stimuli responsive PDMS-based bilayer actuators by adding ionic liquid. Sensors and Actuators B Chemical. 404. 135300–135300. 15 indexed citations

Xue, Cheng-Xin, et al.. (2023). 7.6 A 70.85-86.27TOPS/W PVT-Insensitive 8b Word-Wise ACIM with Post-Processing Relaxation. 136–138. 34 indexed citations

Deshpande, Chetan, et al.. (2023). A 12nm 137 TOPS/W Digital Compute-In-Memory using Foundry 8T SRAM Bitcell supporting 16 Kernel Weight Sets for AI Edge Applications. 1–2. 11 indexed citations

Wang, You‐Chiun & En-Jui Chang. (2020). Cooperative Flow Management in Multi-domain SDN-based Networks with Multiple Controllers. 82–86. 9 indexed citations

Chang, En-Jui, Abbas Rahimi, Luca Benini, & An-Yeu Wu. (2019). Hyperdimensional Computing-based Multimodality Emotion Recognition with Physiological Signals. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 137–141. 50 indexed citations

Chang, En-Jui, et al.. (2018). Low-Complexity Privacy-Preserving Compressive Analysis Using Subspace-Based Dictionary for ECG Telemonitoring System. IEEE Transactions on Biomedical Circuits and Systems. 12(4). 801–811. 37 indexed citations

Chen, Yu-Yin, et al.. (2016). Path-Diversity-Aware Fault-Tolerant Routing Algorithm for Network-on-Chip Systems. IEEE Transactions on Parallel and Distributed Systems. 28(3). 838–849. 50 indexed citations

Chang, En-Jui, et al.. (2014). Regional ACO-Based Cascaded Adaptive Routing for Traffic Balancing in Mesh-Based Network-on-Chip Systems. IEEE Transactions on Computers. 64(3). 868–875. 30 indexed citations

10.

Chen, Kun-Chih, et al.. (2014). RC-Based Temperature Prediction Scheme for Proactive Dynamic Thermal Management in Throttle-Based 3D NoCs. IEEE Transactions on Parallel and Distributed Systems. 26(1). 206–218. 26 indexed citations

11.

Lin, Shih-Chieh, et al.. (2014). High performance adaptive routing for Network-on-Chip systems with express highway mechanism. 1–4. 1 indexed citations

12.

Chang, En-Jui, et al.. (2014). Ant Colony Optimization-Based Adaptive Network-on-Chip Routing Framework Using Network Information Region. IEEE Transactions on Computers. 64(8). 2119–2131. 13 indexed citations

13.

Chen, Kun-Chih, et al.. (2013). Proactive Thermal-Budget-Based Beltway Routing algorithm for thermal-aware 3D NoC systems. 1–4. 14 indexed citations

14.

Chang, En-Jui, et al.. (2013). Hybrid path-diversity-aware adaptive routing with latency prediction model in Network-on-Chip systems. 1–4. 9 indexed citations

15.

Chen, Chun-Yu, et al.. (2013). Reconfigurable Parallel Turbo Decoder Design for Multiple High-Mobility 4G Systems. Journal of Signal Processing Systems. 73(2). 109–122. 8 indexed citations

16.

Zheng, Ze‐Yi, Xiaoyong Fu, Liuh‐Yow Chen, et al.. (2012). CHMP6 and VPS4A mediate the recycling of Ras to the plasma membrane to promote growth factor signaling. Oncogene. 31(43). 4630–4638. 26 indexed citations

17.

Chang, En-Jui, et al.. (2012). ACO-Based Deadlock-Aware Fully-Adaptive Routing in Network-on-Chip Systems. 209–214. 7 indexed citations

18.

Chen, Chun-Yu, et al.. (2011). A 0.16nJ/bit/iteration 3.38mm<sup>2</sup> turbo decoder chip for WiMAX/LTE standards. 168–171. 1 indexed citations

19.

Chen, Chunyu, et al.. (2011). 0.16nJ/bit/iteration 3.38mm2 turbo decoder chip for WiMAX/LTE standards. 178–181. 3 indexed citations

20.

Mills, Gordon B., Chad J. Creighton, Albert C. Chen, et al.. (2010). Int6 regulates both proteasomal degradation and translation initiation and is critical for proper formation of acini by human mammary epithelium. Oncogene. 30(6). 724–736. 15 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.

Explore authors with similar magnitude of impact