Jonathan Chang

4.1k citations

95 papers · 2.9k indexed · 2 hit papers · h-index 21

Impact in

Paleontology top 2%
- Evolution and Paleontology Studies
Nature and Landscape Conservation top 2%
- Fish biology, ecology, and behavior
- Ichthyology and Marine Biology

Papers in ⓘ

Hardware and Architecture 13
Electrical and Electronic Engineering 80
- Semiconductor materials and devices 40
- Advanced Memory and Neural Computing 23
- Ferroelectric and Negative Capacitance Devices 22
- Advancements in Semiconductor Devices and Circuit Design 21
- Low-power high-performance VLSI design 17
- Integrated Circuits and Semiconductor Failure Analysis 15
- Advancements in Photolithography Techniques 12
- 3D IC and TSV technologies 10

Co-authors: Daniel L. Rabosky (4 shared papers)Michael E. Alfaro (9 shared papers)Stephen A. Smith (2 shared papers)Jonathan M. Eastman (1 shared paper)Hung-Jen Liao (16 shared papers)Brian L. Sidlauskas (1 shared paper)Francesco Santini (1 shared paper)Jonathan S. Mitchell (1 shared paper)
Journals: IEEE Journal of Solid-State Circuits (6 papers)IEEE Transactions on Electron Devices (6 papers)Molecular Phylogenetics and Evolution (3 papers)Nanoscale Research Letters (2 papers)Systematic Biology (2 papers)
Partner nations: Taiwan United States Australia

In The Last Decade

Jonathan Chang

84 papers receiving 2.8k citations

Hit Papers

align trajectories log scale

An inverse latitudinal gradient in speciation rate for marine fishes 2018 · 608 citations

Peers

Countries citing papers authored by Jonathan Chang

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonathan Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan Chang Line = papers co-authored together Jonathan Chang links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	An inverse latitudinal gradient in speciation rate for marine fishes Nature ·Daniel L. Rabosky, Jonathan Chang, Pascal O. Title, Peter F. Cowman, Lauren Sallan, Matt Friedman, Kristin Kaschner, Cristina Garilao, Thomas J. Near, Marta Coll, Michael E. Alfaro Hit paper breakdown →	2018	608
2	Rates of speciation and morphological evolution are correlated across the largest vertebrate radiation Nature Communications ·Daniel L. Rabosky, Francesco Santini, Jonathan M. Eastman, Stephen A. Smith, Brian L. Sidlauskas, Jonathan Chang, Michael E. Alfaro Hit paper breakdown →	2013	506
3	15.3 A 351TOPS/W and 372.4GOPS Compute-in-Memory SRAM Macro in 7nm FinFET CMOS for Machine-Learning Applications Qing Dong, Mahmut E. Sinangil, Burak Erbagci, Dar Sun, Win-San Khwa, Hung-Jen Liao, Yuxiao Wang, Jonathan Chang	2020	249
4	Is BAMM Flawed? Theoretical and Practical Concerns in the Analysis of Multi-Rate Diversification Models Systematic Biology ·Daniel L. Rabosky, Jonathan S. Mitchell, Jonathan Chang	2017	180
5	19.4 embedded 1Mb ReRAM in 28nm CMOS with 0.27-to-1V read using swing-sample-and-couple sense amplifier and self-boost-write-termination scheme Meng‐Fan Chang, Jui-Jen Wu, Tun-Fei Chien, Yen‐Chen Liu, Ting-Chin Yang, Wen-Chao Shen, Ya‐Chin King, Chorng-Jung Lin, Ku-Feng Lin, Yu-Der Chih, S. Natarajan, Jonathan Chang	2014	121
6	A 7-nm Compute-in-Memory SRAM Macro Supporting Multi-Bit Input, Weight and Output and Achieving 351 TOPS/W and 372.4 GOPS IEEE Journal of Solid-State Circuits ·Mahmut E. Sinangil, Burak Erbagci, Rawan Naous, Kerem Akarvardar, Dar Sun, Win-San Khwa, Hung-Jen Liao, Yuxiao Wang, Jonathan Chang	2020	119
7	A 16 nm 128 Mb SRAM in High-$\kappa$ Metal-Gate FinFET Technology With Write-Assist Circuitry for Low-VMIN Applications IEEE Journal of Solid-State Circuits ·Yen-Huei Chen, Wei-Min Chan, (unknown), Hung-Jen Liao, (unknown), J.J. Liaw, (unknown), Quincy Li, Chih-Yung Lin, Mu-Chi Chiang, Shien-Yang Wu, Jonathan Chang	2014	113
8	An r package and online resource for macroevolutionary studies using the ray‐finned fish tree of life Methods in Ecology and Evolution ·Jonathan Chang, Daniel L. Rabosky, Stephen A. Smith, Michael E. Alfaro	2019	101
9	A 1Mb 28nm STT-MRAM with 2.8ns read access time at 1.2V VDD using single-cap offset-cancelled sense amplifier and in-situ self-write-termination Qing Dong, Zhehong Wang, Jongyup Lim, Yiqun Zhang, Yi-Chun Shih, Yu-Der Chih, Jonathan Chang, David Blaauw, Dennis Sylvester	2018	70
10	Genome-wide ultraconserved elements exhibit higher phylogenetic informativeness than traditional gene markers in percomorph fishes Molecular Phylogenetics and Evolution ·Princess S. Gilbert, Jonathan Chang, Calvin Pan, Eric M. Sobel, Janet S. Sinsheimer, Brant C. Faircloth, Michael E. Alfaro	2015	58
11	12.1 A 7nm 256Mb SRAM in high-k metal-gate FinFET technology with write-assist circuitry for low-V<inf>MIN</inf> applications Jonathan Chang, Yen-Huei Chen, Wei-Min Chan, Sahil Preet Singh, Hank Cheng, Hidehiro Fujiwara, Jih-Yu Lin, Kao-Cheng Lin, John Hung, Robin Lee, Hung-Jen Liao, Jhon-Jhy Liaw, Quincy Li, Chih-Yung Lin, Mu-Chi Chiang, Shien-Yang Wu	2017	43
12	A 28NM Integrated True Random Number Generator Harvesting Entropy from MRAM Kaiyuan Yang, Qing Dong, Zhehong Wang, Yi-Chun Shih, Yu-Der Chih, Jonathan Chang, David Blaauw, Dennis Svlvester	2018	43
13	A 1-Mb 28-nm 1T1MTJ STT-MRAM With Single-Cap Offset-Cancelled Sense Amplifier and <italic>In Situ</italic> Self-Write-Termination IEEE Journal of Solid-State Circuits ·Qing Dong, Zhehong Wang, Jongyup Lim, Yiqun Zhang, Mahmut E. Sinangil, Yi-Chun Shih, Yu-Der Chih, Jonathan Chang, David Blaauw, Dennis Sylvester	2018	41
14	A Reflow-capable, Embedded 8Mb STT-MRAM Macro with 9nS Read Access Time in 16nm FinFET Logic CMOS Process Yi-Chun Shih, Chia-Fu Lee, Yen-An Chang, Po-Hao Lee, Hon-Jarn Lin, Yulin Chen, Chieh-Pu Lo, Ku-Feng Lin, Tien-Wei Chiang, Yuan-Jen Lee, Kuei‐Hung Shen, Ruo‐Qian Wang, Wayne Wang, Harry Chuang, Eric W. Wang, Yu-Der Chih, Jonathan Chang	2020	35
15	Cycling endurance optimization scheme for 1Mb STT-MRAM in 40nm technology Hung-Chang Yu, Kai-Chun Lin, Ku-Feng Lin, Chin-Yi Huang, Yu-Der Chih, Tong-Chern Ong, Jonathan Chang, S. Natarajan, L. C. Tran	2013	35
16	15.1 A 5nm 135Mb SRAM in EUV and High-Mobility-Channel FinFET Technology with Metal Coupling and Charge-Sharing Write-Assist Circuitry Schemes for High-Density and Low-V_MIN Applications Jonathan Chang, Yen-Huei Chen, Gary Chan, Hank Cheng, Po‐Sheng Wang, Yangsyu Lin, Hidehiro Fujiwara, Robin Lee, Hung-Jen Liao, Ping-Wei Wang, Geoffrey Yeap, Quincy Li	2020	33
17	Logic Process Compatible 40-nm 16-Mb, Embedded Perpendicular-MRAM With Hybrid-Resistance Reference, Sub-$\mu$ A Sensing Resolution, and 17.5-nS Read Access Time IEEE Journal of Solid-State Circuits ·Yi-Chun Shih, Chia-Fu Lee, Yen-An Chang, Po-Hao Lee, Hon-Jarn Lin, Yulin Chen, Ku-Feng Lin, Ta‐Ching Yeh, Hung-Chang Yu, Harry Chuang, Yu-Der Chih, Jonathan Chang	2019	32
18	A phylogenomic perspective on the robust capuchin monkey (Sapajus) radiation: First evidence for extensive population admixture across South America Molecular Phylogenetics and Evolution ·Marcela Guimarães Moreira Lima, José de Sousa e Silva‐Júnior, David Černý, Janet C. Buckner, Alexandre Luis Padovan Aleixo, Jonathan Chang, Jimmy Zheng, Michael E. Alfaro, Amely Branquinho Martins, Anthony Di Fiore, Jean P. Boubli, Jéssica W. Lynch Alfaro	2018	30
19	How Well Can We Estimate Diversity Dynamics for Clades in Diversity Decline? Systematic Biology ·Gustavo Burin, Laura R. V. Alencar, Jonathan Chang, Michael E. Alfaro, Tiago B. Quental	2018	29
20	Crowdsourced geometric morphometrics enable rapid large‐scale collection and analysis of phenotypic data Methods in Ecology and Evolution ·Jonathan Chang, Michael E. Alfaro	2015	23

About Jonathan Chang

Jonathan Chang is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Bioengineering, Paleontology and Surfaces, Coatings and Films, having authored 95 papers that have together received 2.9k indexed citations. Recurring topics across this work include Semiconductor materials and devices (40 papers), Advanced Memory and Neural Computing (23 papers), Ferroelectric and Negative Capacitance Devices (22 papers), Advancements in Semiconductor Devices and Circuit Design (21 papers), Low-power high-performance VLSI design (17 papers), Integrated Circuits and Semiconductor Failure Analysis (15 papers), Advancements in Photolithography Techniques (12 papers) and 3D IC and TSV technologies (10 papers). The work is most often cited by research in Paleontology (515 citations), Nature and Landscape Conservation (626 citations), Ecological Modeling (152 citations), Hardware and Architecture (218 citations) and Aquatic Science (153 citations). Jonathan Chang has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Daniel L. Rabosky, Michael E. Alfaro, Stephen A. Smith, Jonathan M. Eastman, Hung-Jen Liao, Brian L. Sidlauskas, Francesco Santini, Jonathan S. Mitchell, Peter F. Cowman and Matt Friedman. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Electron Devices, Molecular Phylogenetics and Evolution, Nanoscale Research Letters and Systematic Biology.

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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