Jieming Yin

679 citations
26 papers · 432 indexed · h-index 13

Impact in

Papers in

Jieming Yin

23 papers receiving 422 citations

Peers

Jieming Yin
Comparison fields: 5 of 34
  • Hardware and Architecture 304
  • Computer Networks and Communications 316
  • Computational Mathematics 7
  • Electrical and Electronic Engineering 178
  • Computer Vision and Pattern Recognition 42
Replace Yeongon Cho with:
Yeongon Cho South Korea
William J. Song United States
Shin-haeng Kang South Korea
O Seongil South Korea
Mohammad Hosseinabady United Kingdom
Christopher Torng United States
Mohammad Sadrosadati Iran
Kyomin Sohn South Korea
Aporva Amarnath United States
Gwangsun Kim South Korea
Jieming Yin relative to Yeongon Cho South Korea Yeongon Cho's profile →
Citations per field
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Yeongon Cho · 1×
Citations per year

Countries citing papers authored by Jieming Yin

Since Specialization
Citations

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

Fields of papers citing papers by Jieming Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20236
3 20236
4 20231
5 20230
6 20229
7 20213
8 202121
9 202152
10 202140
11 202047
12 20201
13 20185
14 201847
15 201713
16 20177
17 201612
18 201212
19 201113
20 20118

About Jieming Yin

Jieming Yin is a scholar working on Hardware and Architecture, Computational Mathematics, Computer Networks and Communications, Electrical and Electronic Engineering and Neurology, having authored 26 papers that have together received 432 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (19 papers), Interconnection Networks and Systems (13 papers), Advanced Memory and Neural Computing (9 papers), Advanced Data Storage Technologies (8 papers), Embedded Systems Design Techniques (5 papers), Ferroelectric and Negative Capacitance Devices (3 papers), Cloud Computing and Resource Management (2 papers) and Caching and Content Delivery (2 papers). The work is most often cited by research in Hardware and Architecture (304 citations), Computer Networks and Communications (316 citations), Computational Mathematics (7 citations), Electrical and Electronic Engineering (178 citations) and Computer Vision and Pattern Recognition (42 citations). Jieming Yin has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Matthew Poremba, Onur Kayıran, Pingqiang Zhou, Gabriel H. Loh, Antonia Zhai, Sachin S. Sapatnekar, Bradford M. Beckmann, Natalie Enright Jerger, John Sartori and Tushar Krishna. Their work appears in journals such as IEEE Design and Test, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Integration, Rare & Special e-Zone (The Hong Kong University of Science and Technology) and ACM SIGARCH Computer Architecture News.

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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