Open Access Helper

OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Channel Sensing in Molecular Communications With Single Type of Ligand Receptors
Murat Kuşcu, Özgür B. Akan
IEEE Transactions on Communications (2019) Vol. 67, Iss. 10, pp. 6868-6884
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Fabrication and microfluidic analysis of graphene-based molecular communication receiver for Internet of Nano Things (IoNT)
Murat Kuşcu, Hamideh Ramezani, Ergin Dinc, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 42
Internet of Bio-Nano Things: A review of applications, enabling technologies and key challenges
Murat Kuşcu, Bige Deniz Unluturk
ITU Journal on Future and Evolving Technologies (2021) Vol. 2, Iss. 3, pp. 1-24
Open Access | Times Cited: 41
Interfacing of Molecular Communication System With Various Communication Systems Over Internet of Every Nano Things
Lokendra Chouhan, Mohamed‐Slim Alouini
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 16, pp. 14552-14568
Closed Access | Times Cited: 10
Detection in molecular communications with ligand receptors under molecular interference
Murat Kuşcu, Özgür B. Akan
Digital Signal Processing (2021) Vol. 124, pp. 103186-103186
Open Access | Times Cited: 18
Microfluidic pulse shaping methods for Molecular Communications
Maryam Kahvazi Zadeh, Iman Mokari Bolhassan, Murat Kuşcu
Nano Communication Networks (2023) Vol. 36, pp. 100453-100453
Open Access | Times Cited: 7
Frequency-Domain Model of Microfluidic Molecular Communication Channels with Graphene BioFET-based Receivers
Ali Abdali, Murat Kuşcu
IEEE Transactions on Communications (2024) Vol. 72, Iss. 8, pp. 4564-4576
Open Access | Times Cited: 2
Frequency-Domain Detection for Molecular Communication with Cross-Reactive Receptors
Meltem Civas, Murat Kuşcu, Özgür B. Akan
IEEE Transactions on Communications (2024) Vol. 72, Iss. 8, pp. 4741-4755
Open Access | Times Cited: 1
Expected Received Signal in Diffusive Molecular Communication With Finite Binding Receptors
Jianfeng Sun, Hui Li
IEEE Communications Letters (2020) Vol. 24, Iss. 12, pp. 2829-2833
Closed Access | Times Cited: 10
Ratio Shift Keying Modulation for Time-Varying Molecular Communication Channels
M. Okan Araz, Ahmet R. Emirdagi, M. Serkan Kopuzlu, et al.
IEEE Transactions on NanoBioscience (2023) Vol. 23, Iss. 1, pp. 176-189
Open Access | Times Cited: 3
Frequency-Domain Detection for Molecular Communications
Meltem Civas, Ali Abdali, Murat Kuşcu, et al.
ICC 2022 - IEEE International Conference on Communications (2023), pp. 4488-4494
Open Access | Times Cited: 3
Graphene-based Nanoscale Molecular Communication Receiver: Fabrication and Microfluidic Analysis
Murat Kuşcu, Hamideh Ramezani, Ergin Dinc, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 4
Universal Transceivers: Opportunities and Future Directions for the Internet of Everything (IoE)
Meltem Civas, Oktay Cetinkaya, Murat Kuşcu, et al.
Frontiers in Communications and Networks (2021) Vol. 2
Open Access | Times Cited: 4
Capacity analysis of molecular communications with ratio shift keying modulation
M. Serkan Kopuzlu, M. Okan Araz, Ahmet R. Emirdagi, et al.
(2022), pp. 1-6
Open Access | Times Cited: 3
Narrow escape problem in synaptic molecular communications
Caglar Koca, Meltem Civas, Özgür B. Akan
(2022), pp. 1-7
Open Access | Times Cited: 3
On the Reception Process of Molecular Communication-Based Drug Delivery
Roya Paridar, Mohammad Reza Javan, Nader Mokari, et al.
IEEE Access (2024) Vol. 12, pp. 24217-24231
Open Access
Channel Modeling for Receptors Reversible Reactive Receiver With Continuous Release of Ligands
Zhuo Sun, Yingqi Wang, Xu Bao
IEEE Signal Processing Letters (2024) Vol. 31, pp. 1074-1078
Closed Access
Affinity-Division Multiplexing for Molecular Communications With Promiscuous Ligand Receptors
Ahmet R. Emirdagi, M. Serkan Kopuzlu, M. Okan Araz, et al.
IEEE Transactions on Molecular Biological and Multi-Scale Communications (2023) Vol. 9, Iss. 3, pp. 318-322
Open Access | Times Cited: 1
Reliable Receiving Strategies in Diffusion-Based Molecular Communication with Drift Velocity
Prisca Charles Maro, Qiang Liu
(2023), pp. 461-466
Closed Access | Times Cited: 1
Multiple Ligands Channel Modeling for Finite-Receptor Reversible Reactive Receiver
Zhuo Sun, Yingqi Wang, Xu Bao
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 9, pp. 15690-15703
Closed Access | Times Cited: 1
Received signal modeling and BER analysis for molecular SISO communications
Arunava Das, Bharat Runwal, O. Tansel Baydas, et al.
(2022), pp. 1-6
Open Access | Times Cited: 2
Using biochemical circuits to approximately compute log-likelihood ratio for detecting persistent signals.
Chun Tung Chou
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 1
Using Biochemical Circuits to Approximately Compute Log-Likelihood Ratio for Detecting Persistent Signals
Chun Tung Chou
IEEE Access (2021) Vol. 9, pp. 128996-129010
Open Access | Times Cited: 1
Evolutionary game theoretic resource allocation simulation for molecular communication
Caglar Koca, Meltem Civas, Özgür B. Akan
ITU Journal on Future and Evolving Technologies (2021) Vol. 2, Iss. 3, pp. 111-119
Open Access | Times Cited: 1
What Really is “Molecule” in Molecular Communications? The Quest for Physics of Particle-Based Information Carriers
H. Xiao, Kamela Dokaj, Özgür B. Akan
IEEE Transactions on Molecular Biological and Multi-Scale Communications (2023) Vol. 10, Iss. 1, pp. 43-74
Open Access
Coherent feedforward loops can be used to approximately compute log-likelihood ratio for detecting persistent signals
Chun Tung Chou
arXiv (Cornell University) (2019)
Closed Access
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