Mingjie Lin

1.1k citations
82 papers · 700 · h-index 15

Impact in

Papers in

Mingjie Lin

75 papers receiving 666 citations

Peers

Mingjie Lin
Comparison fields: 5 of 66
  • Hardware and Architecture 187
  • Safety, Risk, Reliability and Quality 90
  • Computer Networks and Communications 185
  • Electrical and Electronic Engineering 395
  • Statistics, Probability and Uncertainty 34
Replace Neeraj Kumar Goyal with:
Neeraj Kumar Goyal India
Daniel Mueller-Gritschneder Germany
Hossein Pedram Iran
Mahdi Fazeli Iran
Ming-Bo Lin Taiwan
Wajeb Gharibi Saudi Arabia
Hamid R. Zarandi Iran
Cheng Pang Sweden
Hossein Asadi Iran
Sudipta Mahapatra India
Mingjie Lin relative to Neeraj Kumar Goyal India Neeraj Kumar Goyal's profile →
Citations per field
00.5×3.7×
Neeraj Kumar Goyal · 1×
Citations per year

Countries citing papers authored by Mingjie Lin

Since Specialization
Citations

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

Fields of papers citing papers by Mingjie Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200662
2 198948
3 198948
4 202348
5 201037
6 201029
7 201029
8 201624
9 199021
10 201621
11 201718
12 202316
13 201814
14 201914
15 201014
16 201814
17 201712
18 201411
19 200810
20 201710

About Mingjie Lin

Mingjie Lin is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Hardware and Architecture, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 82 papers that have together received 700 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (17 papers), Low-power high-performance VLSI design (16 papers), Interconnection Networks and Systems (14 papers), Parallel Computing and Optimization Techniques (13 papers), VLSI and FPGA Design Techniques (10 papers), Embedded Systems Design Techniques (9 papers), Advanced Neural Network Applications (8 papers) and Semiconductor materials and devices (8 papers). The work is most often cited by research in Hardware and Architecture (187 citations), Safety, Risk, Reliability and Quality (90 citations), Computer Networks and Communications (185 citations), Electrical and Electronic Engineering (395 citations) and Statistics, Probability and Uncertainty (34 citations). Mingjie Lin has collaborated with scholars based in United States, China and Iraq. Frequent co-authors include Mohammed Alawad, John Wawrzynek, A.M. Breipohl, Abbas El Gamal, F.N. Lee, S.S. Wong, Fred C. Lee, Yi-Chang Lu, Ilia A. Lebedev and Ronald F. DeMara. Their work appears in journals such as IEEE Transactions on Power Systems, IEEE Transactions on Emerging Topics in Computing, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ACM Journal on Emerging Technologies in Computing Systems and Desalination.

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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