Avik Ranjan Adhikary

424 total citations
35 papers, 261 citations indexed

About

Avik Ranjan Adhikary is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Avik Ranjan Adhikary has authored 35 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Electrical and Electronic Engineering, 19 papers in Computer Networks and Communications and 15 papers in Artificial Intelligence. Recurrent topics in Avik Ranjan Adhikary's work include PAPR reduction in OFDM (22 papers), Wireless Communication Networks Research (16 papers) and Coding theory and cryptography (14 papers). Avik Ranjan Adhikary is often cited by papers focused on PAPR reduction in OFDM (22 papers), Wireless Communication Networks Research (16 papers) and Coding theory and cryptography (14 papers). Avik Ranjan Adhikary collaborates with scholars based in China, India and Singapore. Avik Ranjan Adhikary's co-authors include Sudhan Majhi, Zhengchun Zhou, Yong Liang Guan, Zilong Liu, Pingzhi Fan, Yang Yang, Palash Sarkar, Fangrui Liu, Cuiling Fan and Yanghe Feng and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and IEEE Access.

In The Last Decade

Avik Ranjan Adhikary

32 papers receiving 259 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Avik Ranjan Adhikary China 11 233 146 87 26 10 35 261
Natalia Y. Ermolova Finland 14 486 2.1× 324 2.2× 28 0.3× 38 1.5× 5 0.5× 52 526
Amin Mobasher Canada 10 340 1.5× 259 1.8× 62 0.7× 23 0.9× 2 0.2× 21 368
Stéphane Y. Le Goff United Kingdom 8 469 2.0× 265 1.8× 46 0.5× 30 1.2× 5 0.5× 33 478
Guixin Xuan China 12 352 1.5× 292 2.0× 124 1.4× 37 1.4× 13 1.3× 64 382
K. Vasudevan India 12 408 1.8× 183 1.3× 22 0.3× 81 3.1× 14 1.4× 46 431
Tilde Fusco Italy 11 328 1.4× 199 1.4× 27 0.3× 26 1.0× 4 0.4× 26 353
Daoben Li China 10 315 1.4× 220 1.5× 35 0.4× 25 1.0× 2 0.2× 88 339
Dejin Kong China 12 385 1.7× 128 0.9× 22 0.3× 73 2.8× 15 1.5× 44 412
Miao Luo China 6 361 1.5× 264 1.8× 24 0.3× 57 2.2× 7 370
Hon-Fah Chong Singapore 6 307 1.3× 232 1.6× 25 0.3× 13 0.5× 15 317

Countries citing papers authored by Avik Ranjan Adhikary

Since Specialization
Citations

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

Fields of papers citing papers by Avik Ranjan Adhikary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Avik Ranjan Adhikary. 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 Avik Ranjan Adhikary. The network helps show where Avik Ranjan Adhikary may publish in the future.

Co-authorship network of co-authors of Avik Ranjan Adhikary

This figure shows the co-authorship network connecting the top 25 collaborators of Avik Ranjan Adhikary. A scholar is included among the top collaborators of Avik Ranjan Adhikary based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Avik Ranjan Adhikary. Avik Ranjan Adhikary is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Kaiqiang, Zhengchun Zhou, Avik Ranjan Adhikary, & Chunming Tang. (2024). Large Sets of Binary Spreading Sequences With Low Correlation and Low PAPR via Gold Functions. IEEE Transactions on Information Theory. 70(7). 5309–5322. 2 indexed citations
2.
Zhou, Zhengchun, et al.. (2024). Oversampled Low Ambiguity Zone Sequences for Channel Estimation Over Doubly Selective Channels. IEEE Transactions on Communications. 73(4). 2616–2630.
3.
Zhou, Zhengchun, et al.. (2024). Data-Driven Knowledge Fusion for Deep Multi-Instance Learning. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 8292–8306. 2 indexed citations
4.
Zhou, Zhengchun, et al.. (2024). Generalized Zadoff-Chu Sequences With Low PMEPR Property. IEEE Signal Processing Letters. 31. 1174–1178. 1 indexed citations
5.
Adhikary, Avik Ranjan, et al.. (2023). A Novel Approach to Construct Huffman Sequences with Low PAPR. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E107.A(7). 1003–1010.
6.
Meng, Hua, et al.. (2023). Interpreting vulnerabilities of multi-instance learning to adversarial perturbations. Pattern Recognition. 142. 109725–109725. 2 indexed citations
7.
Liu, Kaiqiang, Zhengchun Zhou, Avik Ranjan Adhikary, & Rong Luo. (2023). New sets of non-orthogonal spreading sequences with low correlation and low PAPR using extended Boolean functions. Designs Codes and Cryptography. 91(10). 3115–3139. 5 indexed citations
8.
Zhou, Zhengchun, et al.. (2023). Doppler-resilient waveform design in integrated MIMO radar-communication systems. Science China Information Sciences. 67(1). 5 indexed citations
9.
Zhou, Zhengchun, et al.. (2023). New supersets of Zadoff-Chu sequences via the Weil bound. Cryptography and Communications. 16(1). 89–108. 1 indexed citations
10.
Wu, Wenguo, Zhengchun Zhou, Avik Ranjan Adhikary, & Bapi Dutta. (2022). Discrete space reinforcement learning algorithm based on twin support vector machine classification. Pattern Recognition Letters. 164. 254–260. 1 indexed citations
11.
Adhikary, Avik Ranjan, et al.. (2022). New Class of Optimal Z-Complementary Code Sets. IEEE Signal Processing Letters. 29. 1477–1481. 9 indexed citations
12.
Zhou, Zhengchun, et al.. (2021). Construction of Golay-ZCZ Sequences with New Lengths. 1802–1805. 4 indexed citations
13.
Liu, Bing, Zhengchun Zhou, Yang Yang, Avik Ranjan Adhikary, & Pingzhi Fan. (2021). Constructions of Binary Signature Sets With Optimal Odd Total Squared Correlation and Their Application to Device Activity Detection. IEEE Transactions on Intelligent Transportation Systems. 1–13. 3 indexed citations
14.
Liu, Chen, Shuaijun Liu, Xianfu Lei, Avik Ranjan Adhikary, & Zhengchun Zhou. (2021). Three-phase Z-complementary triads and almost complementary triads. Cryptography and Communications. 13(5). 763–773. 1 indexed citations
15.
Zhou, Zhengchun, Fangrui Liu, Avik Ranjan Adhikary, & Pingzhi Fan. (2020). A Generalized Construction of Multiple Complete Complementary Codes and Asymptotically Optimal Aperiodic Quasi-Complementary Sequence Sets. IEEE Transactions on Communications. 68(6). 3564–3571. 21 indexed citations
16.
Fan, Cuiling, et al.. (2020). New Sets of Binary Cross Z-Complementary Sequence Pairs. IEEE Communications Letters. 24(8). 1616–1620. 12 indexed citations
17.
Adhikary, Avik Ranjan, Sudhan Majhi, Zilong Liu, & Yong Liang Guan. (2018). New Sets of Even-Length Binary Z-Complementary Pairs With Asymptotic ZCZ Ratio of <inline-formula> <tex-math notation="LaTeX">$3/4$</tex-math> </inline-formula>. IEEE Signal Processing Letters. 25(7). 970–973. 47 indexed citations
18.
Adhikary, Avik Ranjan, Sudhan Majhi, Zilong Liu, & Yong Liang Guan. (2017). New optimal binary Z-complementary pairs of odd lengths. 14–18. 16 indexed citations
19.
Adhikary, Avik Ranjan, et al.. (2016). Receiver design for quasi-asynchronous MC-CDMA by using QCSS code. 1159–1163. 5 indexed citations
20.
Adhikary, Avik Ranjan, et al.. (2016). Optimal Binary Periodic Almost-Complementary Pairs. IEEE Signal Processing Letters. 23(12). 1816–1820. 10 indexed citations

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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