Hechen Wang

594 citations
35 papers · 405 · h-index 14

Impact in

    • Advancements in PLL and VCO Technologies
    • Advanced Memory and Neural Computing
    • Radio Frequency Integrated Circuit Design
    • Ferroelectric and Negative Capacitance Devices
    • Photonic and Optical Devices
    • CCD and CMOS Imaging Sensors
    • Semiconductor materials and devices

Papers in

Hechen Wang

33 papers receiving 400 citations

Peers

Hechen Wang
Comparison fields: 5 of 82
  • Hardware and Architecture 35
  • Electrical and Electronic Engineering 244
  • Otorhinolaryngology 12
  • Biomedical Engineering 119
  • Instrumentation 8
Replace Chia Yee Ooi with:
Chia Yee Ooi Malaysia
Qiaobo Ye China
Joonho Lim South Korea
T. Kamei Japan
Miki Japan
Yumi Mori Japan
Tung Thanh Hoang Vietnam
Xiaoying Qiu China
S. Mita Japan
Saurabh Joshi India
Hechen Wang relative to Chia Yee Ooi Malaysia Chia Yee Ooi's profile →
Citations per field
00.5×
Chia Yee Ooi · 1×
Citations per year

Countries citing papers authored by Hechen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hechen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202361
2 201928
3 202228
4 201828
5 201725
6 201922
7 201721
8 202215
9 202015
10 202414
11 201714
12 201814
13 202214
14 201713
15 201813
16 202112
17 20169
18 20238
19 20228
20 20226

About Hechen Wang

Hechen Wang is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Molecular Biology, Artificial Intelligence and Cancer Research, having authored 35 papers that have together received 405 indexed citations. Recurring topics across this work include Advancements in PLL and VCO Technologies (8 papers), Analog and Mixed-Signal Circuit Design (7 papers), Radio Frequency Integrated Circuit Design (6 papers), Advanced Memory and Neural Computing (6 papers), MicroRNA in disease regulation (4 papers), Neural Networks and Applications (4 papers), CCD and CMOS Imaging Sensors (4 papers) and Photonic and Optical Devices (4 papers). The work is most often cited by research in Hardware and Architecture (35 citations), Electrical and Electronic Engineering (244 citations), Otorhinolaryngology (12 citations), Biomedical Engineering (119 citations) and Instrumentation (8 citations). Hechen Wang has collaborated with scholars based in United States, China and New Zealand. Frequent co-authors include Fa Foster Dai, Renzhi Liu, Hua Wang, Brent Carlton, Deepak Dasalukunte, Richard Dorrance, Xiansheng Meng, Roc Berenguer, Taiyun Chi and Nannan Li. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Biosensors and Bioelectronics, Chinese Chemical Letters, Nature and Molecules.

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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