Melody Moh

1.9k total citations
98 papers, 1.1k citations indexed

About

Melody Moh is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Melody Moh has authored 98 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Computer Networks and Communications, 31 papers in Artificial Intelligence and 28 papers in Information Systems. Recurrent topics in Melody Moh's work include Caching and Content Delivery (14 papers), Energy Efficient Wireless Sensor Networks (14 papers) and Mobile Ad Hoc Networks (12 papers). Melody Moh is often cited by papers focused on Caching and Content Delivery (14 papers), Energy Efficient Wireless Sensor Networks (14 papers) and Mobile Ad Hoc Networks (12 papers). Melody Moh collaborates with scholars based in United States, India and Japan. Melody Moh's co-authors include Teng-Sheng Moh, Ching-Fong Su, Takeo Hamada, Yang Peng, Jason Yao, Yanjun Chen, Li Yang, David C. Lin, Marie Dumont and Liang Wu and has published in prestigious journals such as Computer Communications, IEEE Vehicular Technology Magazine and International Journal of Sensor Networks.

In The Last Decade

Melody Moh

91 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melody Moh United States 18 788 332 306 234 137 98 1.1k
Anwar Ghani Pakistan 19 663 0.8× 562 1.7× 170 0.6× 357 1.5× 116 0.8× 79 1.2k
René Hummen Germany 14 1.1k 1.4× 365 1.1× 198 0.6× 236 1.0× 96 0.7× 28 1.2k
Muhammad Adil United States 21 599 0.8× 262 0.8× 246 0.8× 253 1.1× 53 0.4× 54 960
Salekul Islam Bangladesh 20 624 0.8× 438 1.3× 165 0.5× 351 1.5× 44 0.3× 95 1.2k
Nazim Agoulmine France 19 956 1.2× 191 0.6× 570 1.9× 132 0.6× 139 1.0× 94 1.2k
Majid Bayat Iran 14 671 0.9× 622 1.9× 422 1.4× 422 1.8× 68 0.5× 32 1.0k
Sungjin Yu South Korea 22 862 1.1× 926 2.8× 281 0.9× 286 1.2× 64 0.5× 40 1.3k
Muhammad Sher Pakistan 19 1.1k 1.4× 629 1.9× 244 0.8× 586 2.5× 82 0.6× 86 1.4k
Zurina Mohd Hanapi Malaysia 21 955 1.2× 264 0.8× 490 1.6× 213 0.9× 58 0.4× 121 1.3k

Countries citing papers authored by Melody Moh

Since Specialization
Citations

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

Fields of papers citing papers by Melody Moh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melody Moh

This figure shows the co-authorship network connecting the top 25 collaborators of Melody Moh. A scholar is included among the top collaborators of Melody Moh 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 Melody Moh. Melody Moh 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.
3.
Moh, Melody, et al.. (2025). Breaking the Cycle: Countering Popularity Bias for Diverse Content Discovery. 1–8. 1 indexed citations
6.
Moh, Melody, et al.. (2021). Detecting Compromised Social Network Accounts Using Deep Learning for Behavior and Text Analyses. International Journal of Cloud Applications and Computing. 11(2). 1–13. 28 indexed citations
7.
Moh, Melody, et al.. (2021). Smart IoT for Research and Industry. EAI/Springer Innovations in Communication and Computing. 4 indexed citations
8.
Moh, Melody, et al.. (2020). Using Deep Learning to Solve Google reCAPTCHA v2’s Image Challenges. 1–5. 7 indexed citations
9.
Moh, Melody, et al.. (2020). Defending Deep Learning Models Against Adversarial Attacks. International Journal of Software Science and Computational Intelligence. 13(1). 1–18. 31 indexed citations
10.
Moh, Melody, et al.. (2019). CausalConvLSTM: Semi-Supervised Log Anomaly Detection Through Sequence Modeling. 1334–1341. 17 indexed citations
11.
Moh, Melody, et al.. (2019). Exploring Adversaries to Defend Audio CAPTCHA. 1155–1161. 2 indexed citations
13.
14.
Moh, Melody, et al.. (2017). Abstract. 630–630. 5 indexed citations
16.
Moh, Melody, et al.. (2016). Energy Efficient Traffic-Aware Virtual Machine Migration in Green Cloud Data Centers. 268–273. 25 indexed citations
17.
Peng, Yang, Melody Moh, & Teng-Sheng Moh. (2016). Efficient adverse drug event extraction using Twitter sentiment analysis. 1011–1018. 11 indexed citations
18.
Moh, Melody, et al.. (2005). Web services: self-adaptable trust mechanisms. 83–89. 3 indexed citations
19.
Moh, Melody, et al.. (2005). A prototype on RFID and sensor networks for elder healthcare. 70–70. 92 indexed citations
20.
Moh, Melody, et al.. (2005). Differentiated-service enabled group communications using bandwidth brokers. e84 s. 299–304. 1 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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