Nan Sun

7.3k citations
246 papers · 5.1k indexed · h-index 42

Nan Sun

227 papers receiving 5.0k citations

Peers

Nan Sun
Comparison fields: 5 of 101
  • Hardware and Architecture 560
  • Electrical and Electronic Engineering 4.2k
  • Biomedical Engineering 3.1k
  • Bioengineering 120
  • Cellular and Molecular Neuroscience 375
Replace Pui‐In Mak with:
Pui‐In Mak Macao
Rui P. Martins Macao
Franco Maloberti Italy
Behzad Razavi United States
Christian Enz Switzerland
R. Jacob Baker United States
A. Basçhirotto Italy
Maurits Ortmanns Germany
P. Malcovati Italy
Thomas H. Lee United States
Nan Sun relative to Pui‐In Mak Macao Pui‐In Mak's profile →
Citations per field
00.5×2.9×
Pui‐In Mak · 1×
Citations per year

Countries citing papers authored by Nan Sun

Since Specialization
Citations

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

Fields of papers citing papers by Nan Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20242
3 20239
4 20239
5 202311
6 20235
7 202117
8 202128
9 2020198
10 202011
11 20205
12 202083
13 202044
14 202047
15 20202
16 201949
17 201955
18 201918
19 201858
20 201822

About Nan Sun

Nan Sun is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Hardware and Architecture, Bioengineering and Radiation, having authored 246 papers that have together received 5.1k indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (164 papers), CCD and CMOS Imaging Sensors (82 papers), Advancements in Semiconductor Devices and Circuit Design (67 papers), Low-power high-performance VLSI design (53 papers), Advancements in PLL and VCO Technologies (40 papers), VLSI and FPGA Design Techniques (21 papers), Radio Frequency Integrated Circuit Design (20 papers) and VLSI and Analog Circuit Testing (18 papers). The work is most often cited by research in Hardware and Architecture (560 citations), Electrical and Electronic Engineering (4.2k citations), Biomedical Engineering (3.1k citations), Bioengineering (120 citations) and Cellular and Molecular Neuroscience (375 citations). Nan Sun has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Xiyuan Tang, Arindam Sanyal, Linxiao Shen, David Z. Pan, Shaolan Li, Jiaxin Liu, Donhee Ham, Long Chen, Wenjuan Guo and Kareem Ragab. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Circuits & Systems II Express Briefs, Electronics Letters and IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

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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