Eric Qin

799 citations
11 papers · 551 · 1 hit paper · h-index 8

Impact in

Papers in

Eric Qin

11 papers receiving 543 citations

Eric Qin's Hit Papers

SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training 2020 · 354 citations
3540+2+4Years since publication100200300

Peers

Eric Qin
Comparison fields: 5 of 48
  • Computational Mathematics 23
  • Hardware and Architecture 232
  • Computer Vision and Pattern Recognition 164
  • Computer Networks and Communications 140
  • Electrical and Electronic Engineering 288
Replace Prasanth Chatarasi with:
Prasanth Chatarasi United States
Guohao Dai China
Victor A. Ying United States
Joonho Song South Korea
Guyue Huang China
Xuan Yang United States
Brian Curran United States
Ananda Samajdar United States
Hyunsung Shin South Korea
Shin-Haeng Kang South Korea
Eric Qin relative to Prasanth Chatarasi United States Prasanth Chatarasi's profile →
Citations per field
00.5×1.6×
Prasanth Chatarasi · 1×
Citations per year

Countries citing papers authored by Eric Qin

Since Specialization
Citations

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

Fields of papers citing papers by Eric Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eric Qin, 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 Qin Line = papers co-authored together Eric Qin links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training
Hit paper breakdown →
2020354
2 202077
3 201938
4 202324
5 202216
6 202113
7 202112
8 202211
9
K-TanH: Hardware Efficient Activations For Deep Learning.
20193
10 20212
11 20151

About Eric Qin

Eric Qin is a scholar working on Hardware and Architecture, Computer Networks and Communications, Computer Vision and Pattern Recognition, Human-Computer Interaction and Electrical and Electronic Engineering, having authored 11 papers that have together received 551 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (7 papers), 3D IC and TSV technologies (3 papers), Advanced Data Storage Technologies (3 papers), Interconnection Networks and Systems (2 papers), VLSI and FPGA Design Techniques (2 papers), Semiconductor Lasers and Optical Devices (2 papers), Advanced Neural Network Applications (2 papers) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Computational Mathematics (23 citations), Hardware and Architecture (232 citations), Computer Vision and Pattern Recognition (164 citations), Computer Networks and Communications (140 citations) and Electrical and Electronic Engineering (288 citations). Eric Qin has collaborated with scholars based in United States, Estonia and South Korea. Frequent co-authors include Tushar Krishna, Hyoukjun Kwon, Ananda Samajdar, Sudarshan Srinivasan, Bharat Kaul, Dipankar Das, Hakki Mert Torun, Arvind Singh, Minah Lee and Saibal Mukhopadhyay. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, UPCommons institutional repository (Universitat Politècnica de Catalunya) and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

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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