Danial Khan

704 citations
58 papers · 507 · h-index 13

Impact in

Papers in

    • Energy Harvesting in Wireless Networks 21
    • Wireless Power Transfer Systems 18
    • Advanced Memory and Neural Computing 10
    • Advancements in Semiconductor Devices and Circuit Design 10
    • Low-power high-performance VLSI design 7
    • Analog and Mixed-Signal Circuit Design 13

Danial Khan

56 papers receiving 493 citations

Peers

Danial Khan
Comparison fields: 5 of 50
  • Electrical and Electronic Engineering 451
  • Hardware and Architecture 37
  • Mechanical Engineering 125
  • Biomedical Engineering 131
  • Automotive Engineering 22
Replace Jinwook Song with:
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YoungGun Pu South Korea
Samad Sheikhaei Iran
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Danial Khan relative to Jinwook Song South Korea Jinwook Song's profile →
Citations per field
00.5×1.5×2.3×
Jinwook Song · 1×
Citations per year

Countries citing papers authored by Danial Khan

Since Specialization
Citations

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

Fields of papers citing papers by Danial Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202050
2 201839
3 201932
4 202129
5 202128
6 202023
7 201820
8 202014
9 202214
10 202013
11 202213
12 202012
13 201912
14 202012
15 202211
16 202110
17 202210
18 202110
19 202310
20 20209

About Danial Khan

Danial Khan is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Mechanical Engineering, Hardware and Architecture and Automotive Engineering, having authored 58 papers that have together received 507 indexed citations. Recurring topics across this work include Energy Harvesting in Wireless Networks (21 papers), Wireless Power Transfer Systems (18 papers), Analog and Mixed-Signal Circuit Design (13 papers), Innovative Energy Harvesting Technologies (12 papers), Advanced Memory and Neural Computing (10 papers), Advancements in Semiconductor Devices and Circuit Design (10 papers), Physical Unclonable Functions (PUFs) and Hardware Security (7 papers) and Low-power high-performance VLSI design (7 papers). The work is most often cited by research in Electrical and Electronic Engineering (451 citations), Hardware and Architecture (37 citations), Mechanical Engineering (125 citations), Biomedical Engineering (131 citations) and Automotive Engineering (22 citations). Danial Khan has collaborated with scholars based in South Korea, Saudi Arabia and Norway. Frequent co-authors include Kang‐Yoon Lee, Keum Cheol Hwang, Youngoo Yang, Young Gun Pu, Khuram Shehzad, Minjae Lee, Yehia Massoud, YoungGun Pu, Qurat Ul Ain and Sang‐Sun Yoo. Their work appears in journals such as IEEE Access, Electronics, Sensors, IEEE Transactions on Power Electronics and Energies.

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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