Eric Sun

2.0k citations

36 papers · 1.2k indexed · 1 hit paper · h-index 14

Impact in

Transportation top 1%
- Human Mobility and Location-Based Analysis
Aging top 5%

Papers in ⓘ

Developmental Neuroscience 5
- Neurogenesis and neuroplasticity mechanisms 5
Neurology 7
- Neuroinflammation and Neurodegeneration Mechanisms 6

Co-authors: Cameron Marlow (2 shared papers)Lars Bäckström (1 shared paper)Itamar Rosenn (1 shared paper)Thomas Lento (1 shared paper)Anne Brunet (7 shared papers)Jinyu Li (10 shared papers)Yifan Gong (9 shared papers)Zhong Meng (6 shared papers)
Journals: Nature Aging (3 papers)Nature (2 papers)Nature Methods (1 paper)Aging (1 paper)Current Biology (1 paper)
Partner nations: United States Israel United Kingdom

In The Last Decade

Eric Sun

32 papers receiving 1.1k citations

Hit Papers

align trajectories log scale

Find me if you can 2010 · 493 citations

Peers

Countries citing papers authored by Eric Sun

Since Specialization

Citations

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

Fields of papers citing papers by Eric Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eric Sun, 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 Eric Sun Line = papers co-authored together Eric Sun 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 36 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Find me if you can Lars Bäckström, Eric Sun, Cameron Marlow Hit paper breakdown →	2010	493
2	Gesundheit! Modeling Contagion through Facebook News Feed Proceedings of the International AAAI Conference on Web and Social Media ·Eric Sun, Itamar Rosenn, Cameron Marlow, Thomas Lento	2009	146
3	Cell-type-specific aging clocks to quantify aging and rejuvenation in neurogenic regions of the brain Nature Aging ·Matthew T. Buckley, Eric Sun, Benson M. George, Ling Liu, Nicholas Schaum, Lucy Xu, Jaime M. Reyes, Margaret A. Goodell, Irving L. Weissman, Tony Wyss‐Coray, Thomas A. Rando, Anne Brunet	2022	93
4	Internal Language Model Estimation for Domain-Adaptive End-to-End Speech Recognition Zhong Meng, Sarangarajan Parthasarathy, Eric Sun, Yashesh Gaur, Naoyuki Kanda, Liang Lu, Xie Chen, Rui Zhao, Jinyu Li, Yifan Gong	2021	60
5	Sex Chromosome Degeneration by Regulatory Evolution Current Biology ·Thomas Lenormand, Frédéric Fyon, Eric Sun, Denis Roze	2020	46
6	Ground: A Data Context Service. Conference on Innovative Data Systems Research ·Joseph M. Hellerstein, Vikram Sreekanti, Joseph E. Gonzalez, James F. Dalton, Akon Dey, Sreyashi Nag, Krishna Ramachandran, Sudhanshu Arora, Arka Bhattacharyya, Shirshanka Das, Mark Donsky, Gabe Fierro, Chang She, C Steinbach, Venkat R. Subramanian, Eric Sun	2017	39
7	CRISPR–Cas9 screens reveal regulators of ageing in neural stem cells Nature ·Tyson J. Ruetz, Angela N. Pogson, Chloe M. Kashiwagi, Stéphanie Gagnon, Bhek Morton, Eric Sun, Jeeyoon Na, Robin W. Yeo, Dena S. Leeman, David W. Morgens, C. Kimberly Tsui, Amy Li, Michael C. Bassik, Anne Brunet	2024	33
8	Internal Language Model Training for Domain-Adaptive End-To-End Speech Recognition Zhong Meng, Naoyuki Kanda, Yashesh Gaur, Sarangarajan Parthasarathy, Eric Sun, Liang Lu, Xie Chen, Jinyu Li, Yifan Gong	2021	31
9	Spatial transcriptomic clocks reveal cell proximity effects in brain ageing Nature ·Eric Sun, Olivia Y. Zhou, Max Hauptschein, Nimrod Rappoport, Lucy Xu, Paloma Navarro Negredo, Ling Liu, Thomas A. Rando, James Zou, Anne Brunet	2024	23
10	A Configurable Multilingual Model is All You Need to Recognize All Languages ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ·Long Zhou, Jinyu Li, Eric Sun, Shujie Liu	2022	19
11	Restoration of neuronal progenitors by partial reprogramming in the aged neurogenic niche Nature Aging ·Lucy Xu, Julliana Ramirez-Matias, Max Hauptschein, Eric Sun, Judith C. Lunger, Matthew T. Buckley, Anne Brunet	2024	18
12	TISSUE: uncertainty-calibrated prediction of single-cell spatial transcriptomics improves downstream analyses Nature Methods ·Eric Sun, Rong Ma, Paloma Navarro Negredo, Anne Brunet, James Zou	2024	17
13	High-Accuracy and Low-Latency Speech Recognition with Two-Head Contextual Layer Trajectory LSTM Model Jinyu Li, Rui Zhao, Eric Sun, Jeremy H. M. Wong, Amit Das, Zhong Meng, Yifan Gong	2020	15
14	Chromatin accessibility dynamics of neurogenic niche cells reveal defects in neural stem cell adhesion and migration during aging Nature Aging ·Robin W. Yeo, Olivia Y. Zhou, Brian L. Zhong, Eric Sun, Paloma Navarro Negredo, Surag Nair, Mahfuza Sharmin, Tyson J. Ruetz, Mikaela Wilson, Anshul Kundaje, Alexander R. Dunn, Anne Brunet	2023	14
15	ImageNet-trained deep neural networks exhibit illusion-like response to the Scintillating grid Journal of Vision ·Eric Sun, Ron Dekel	2021	13
16	Dynamic visualization of high-dimensional data Nature Computational Science ·Eric Sun, Rong Ma, James Zou	2022	11
17	Minimum Word Error Rate Training with Language Model Fusion for End-to-End Speech Recognition Zhong Meng, Yu Wu, Naoyuki Kanda, Liang Lu, Xie Chen, Guoli Ye, Eric Sun, Jinyu Li, Yifan Gong	2021	11
18	Combination of End-to-End and Hybrid Models for Speech Recognition Jeremy H. M. Wong, Yashesh Gaur, Rui Zhao, Liang Lu, Eric Sun, Jinyu Li, Yifan Gong	2020	10
19	Predicting physiological aging rates from a range of quantitative traits using machine learning Aging ·Eric Sun, Yong Qian, Richard Oppong, Thomas Bütler, Jesse Zhao, Brian H. Chen, Toshiko Tanaka, Jian Kang, Carlo Sidore, Francesco Cucca, Stefania Bandinelli, Gonçalo R. Abecasis, Myriam Gorospe, Luigi Ferrucci, David Schlessinger, I. Goldberg, Jun Ding	2021	10
20	A spectral method for assessing and combining multiple data visualizations Nature Communications ·Rong Ma, Eric Sun, James Zou	2023	7

About Eric Sun

Eric Sun is a scholar working on Developmental Neuroscience, Neurology, Signal Processing, Aging and Biophysics, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (13 papers), Single-cell and spatial transcriptomics (7 papers), Music and Audio Processing (7 papers), Natural Language Processing Techniques (6 papers), Speech and Audio Processing (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Topic Modeling (4 papers). The work is most often cited by research in Transportation (316 citations), Aging (45 citations), Statistical and Nonlinear Physics (293 citations), Geography, Planning and Development (116 citations) and Signal Processing (172 citations). Eric Sun has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Cameron Marlow, Lars Bäckström, Itamar Rosenn, Thomas Lento, Anne Brunet, Jinyu Li, Yifan Gong, Zhong Meng, Liang Lu and James Zou. Their work appears in journals such as Nature Aging, Nature, Nature Methods, Aging and Current 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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