Jun Jiat Tiang

1.3k total citations
63 papers, 883 citations indexed

About

Jun Jiat Tiang is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Media Technology. According to data from OpenAlex, Jun Jiat Tiang has authored 63 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Electrical and Electronic Engineering, 33 papers in Aerospace Engineering and 7 papers in Media Technology. Recurrent topics in Jun Jiat Tiang's work include Antenna Design and Analysis (28 papers), Energy Harvesting in Wireless Networks (26 papers) and Wireless Power Transfer Systems (13 papers). Jun Jiat Tiang is often cited by papers focused on Antenna Design and Analysis (28 papers), Energy Harvesting in Wireless Networks (26 papers) and Wireless Power Transfer Systems (13 papers). Jun Jiat Tiang collaborates with scholars based in Malaysia, Saudi Arabia and Bangladesh. Jun Jiat Tiang's co-authors include Amjad Iqbal, Sew Kin Wong, Nazih Khaddaj Mallat, Ching Kwang Lee, Mohammad Tariqul Islam, Norbahiah Misran, Sai‐Wai Wong, Mardeni Roslee, Mandeep Singh and Amor Smida and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Jun Jiat Tiang

51 papers receiving 855 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Jiat Tiang Malaysia 17 793 548 110 75 58 63 883
Christopher R. Valenta United States 10 928 1.2× 364 0.7× 74 0.7× 100 1.3× 144 2.5× 39 1.0k
Jong‐Won Yu South Korea 15 940 1.2× 606 1.1× 114 1.0× 168 2.2× 57 1.0× 100 1.1k
Giovanni Andrea Casula Italy 19 776 1.0× 785 1.4× 248 2.3× 169 2.3× 29 0.5× 93 1.0k
Runbo Ma China 14 559 0.7× 649 1.2× 63 0.6× 73 1.0× 34 0.6× 72 784
Hassan Tariq Chattha United Kingdom 19 1.0k 1.3× 1.0k 1.8× 220 2.0× 83 1.1× 28 0.5× 70 1.2k
Fatemeh Babaeian Australia 10 422 0.5× 421 0.8× 83 0.8× 207 2.8× 19 0.3× 23 590
D. Staiculescu United States 10 414 0.5× 183 0.3× 207 1.9× 156 2.1× 41 0.7× 40 561
Bomson Lee South Korea 15 685 0.9× 554 1.0× 95 0.9× 218 2.9× 51 0.9× 87 870
Syed Muzahir Abbas Australia 17 758 1.0× 854 1.6× 279 2.5× 49 0.7× 24 0.4× 150 1.0k
Alírio Boaventura Portugal 14 902 1.1× 207 0.4× 75 0.7× 184 2.5× 96 1.7× 39 938

Countries citing papers authored by Jun Jiat Tiang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Jiat Tiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Jiat Tiang. 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 Jun Jiat Tiang. The network helps show where Jun Jiat Tiang may publish in the future.

Co-authorship network of co-authors of Jun Jiat Tiang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Jiat Tiang. A scholar is included among the top collaborators of Jun Jiat Tiang 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 Jun Jiat Tiang. Jun Jiat Tiang 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.
Tiang, Jun Jiat, et al.. (2025). A high-gain THz microstrip patch antenna designed for IoT and 6G communications with predicted efficiency using machine learning approaches. e-Prime - Advances in Electrical Engineering Electronics and Energy. 13. 101058–101058. 2 indexed citations
2.
Haque, Md. Ashraful, et al.. (2025). Regression machine learning methods for isolation prediction and massive gain broadband MIMO antenna design for 28 GHz applications. Results in Optics. 21. 100883–100883. 1 indexed citations
3.
4.
Tiang, Jun Jiat, et al.. (2024). An efficient algorithm for resource optimization in TWDM passive optical network using a C-RAN. Frontiers in Physics. 12. 2 indexed citations
5.
Sikder, Niloy, et al.. (2024). Heterogeneous virus classification using a functional deep learning model based on transmission electron microscopy images. Scientific Reports. 14(1). 28954–28954. 1 indexed citations
6.
Tiang, Jun Jiat, et al.. (2023). Deep Reinforcement Learning-Based Adaptive Beam Tracking and Resource Allocation in 6G Vehicular Networks with Switched Beam Antennas. Electronics. 12(10). 2294–2294. 5 indexed citations
7.
Tiang, Jun Jiat, Mardeni Roslee, Mohamed Waly, et al.. (2023). Advancing IoT wireless sensor nodes with a low profile multiband RF rectifier based on multi-stub J-Inverter network. AEU - International Journal of Electronics and Communications. 171. 154869–154869. 4 indexed citations
8.
9.
Waly, Mohamed, Ridha Ghayoula, Amor Smida, et al.. (2023). A multiband SSr diode RF rectifier with an improved frequency ratio for biomedical wireless applications. Scientific Reports. 13(1). 13246–13246. 8 indexed citations
10.
Tiang, Jun Jiat, et al.. (2023). Proposed CtCNet-HDRNN: A Cornerstone in the Integration of 5G mmWave and DSRC for High-Speed Vehicular Networks. IEEE Access. 11. 126482–126506. 1 indexed citations
11.
Tiang, Jun Jiat, et al.. (2023). Evaluating the Performance of Proposed Switched Beam Antenna Systems in Dynamic V2V Communication Networks. Sensors. 23(15). 6782–6782. 6 indexed citations
12.
Tiang, Jun Jiat, et al.. (2023). Detection and Mitigation of SQL and Jamming Attacks on Switched Beam Antenna in V2V Networks Using Federated Learning. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 1–6.
13.
Tiang, Jun Jiat, et al.. (2022). Design of a Highly Efficient Wideband Multi-Frequency Ambient RF Energy Harvester. Sensors. 22(2). 424–424. 20 indexed citations
14.
Tiang, Jun Jiat, et al.. (2021). Quad-Band Multiport Rectenna for RF Energy Harvesting in Ambient Environment. IEEE Access. 9. 77464–77481. 37 indexed citations
15.
Tiang, Jun Jiat, et al.. (2021). A Quad-Band Stacked Hybrid Ambient RF-Solar Energy Harvester With Higher RF-to-DC Rectification Efficiency. IEEE Access. 9. 39303–39321. 23 indexed citations
16.
Iqbal, Amjad, Jun Jiat Tiang, Sew Kin Wong, Sai‐Wai Wong, & Nazih Khaddaj Mallat. (2021). QMSIW-Based Single and Triple Band Bandpass Filters. IEEE Transactions on Circuits & Systems II Express Briefs. 68(7). 2443–2447. 62 indexed citations
17.
Tiang, Jun Jiat, et al.. (2021). A novel microstrip antenna loaded with EBG and ELC for bandwidth enhancement. Analog Integrated Circuits and Signal Processing. 109(1). 115–126. 8 indexed citations
18.
Iqbal, Amjad, Jun Jiat Tiang, Sew Kin Wong, et al.. (2020). Miniaturization Trends in Substrate Integrated Waveguide (SIW) Filters: A Review. IEEE Access. 8. 223287–223305. 40 indexed citations
19.
Iqbal, Amjad, Jun Jiat Tiang, Ching Kwang Lee, & Byung Moo Lee. (2019). Tunable Substrate Integrated Waveguide Diplexer With High Isolation and Wide Stopband. IEEE Microwave and Wireless Components Letters. 29(7). 456–458. 54 indexed citations
20.
Kelechi, Anabi Hilary, Mandeep Singh Jit Singh, Mohammad Tariqul Islam, & Jun Jiat Tiang. (2011). A quarter-wave Y-shaped patch antenna with two unequal arms for wideband ultra high frequency radio-frequency identification (UHF RFID) operations. International Journal of the Physical Sciences. 6(26). 6200–6209. 7 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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