Mu Mu

2.0k total citations
84 papers, 1.5k citations indexed

About

Mu Mu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Sociology and Political Science. According to data from OpenAlex, Mu Mu has authored 84 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 24 papers in Computer Networks and Communications and 19 papers in Sociology and Political Science. Recurrent topics in Mu Mu's work include Image and Video Quality Assessment (28 papers), Multimedia Communication and Technology (19 papers) and Peer-to-Peer Network Technologies (11 papers). Mu Mu is often cited by papers focused on Image and Video Quality Assessment (28 papers), Multimedia Communication and Technology (19 papers) and Peer-to-Peer Network Technologies (11 papers). Mu Mu collaborates with scholars based in United Kingdom, United States and Germany. Mu Mu's co-authors include Hank F. Kung, Mei‐Ping Kung, Nicholas Race, Matthew Broadbent, Catherine Hou, Paul D. Acton, Shunichi Oya, Yehia Elkhatib, Panagiotis Georgopoulos and Michael J. Siciliano and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and Journal of the Atmospheric Sciences.

In The Last Decade

Mu Mu

77 papers receiving 1.5k citations

Peers

Mu Mu
Susan Landau United States
Tao Lian China
Shan Yu China
Paul Expert United Kingdom
Runa Bhaumik United States
Ji‐Hyun Kim South Korea
H. Jeremy Bockholt United States
Susan Landau United States
Mu Mu
Citations per year, relative to Mu Mu Mu Mu (= 1×) peers Susan Landau

Countries citing papers authored by Mu Mu

Since Specialization
Citations

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

Fields of papers citing papers by Mu Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mu Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Mu Mu. A scholar is included among the top collaborators of Mu Mu 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 Mu Mu. Mu Mu 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.
Mu, Mu, et al.. (2024). Real-walk modelling: deep learning model for user mobility in virtual reality. Multimedia Systems. 30(1).
2.
Mu, Mu, et al.. (2023). A Novel Fuzzy Classifier Model for Cancer Classification Using Gene Expression Data. IEEE Access. 11. 115161–115178. 7 indexed citations
3.
Hashmi, Ahmar, Mu Mu, Podjanee Jittamala, et al.. (2023). Born too soon in a resource-limited setting: A 10-year mixed methods review of a special care baby unit for refugees and migrants on the Myanmar-Thailand border. Frontiers in Public Health. 11. 1144642–1144642.
4.
Machado, Lee R., et al.. (2022). A Survey of Machine Learning Approaches Applied to Gene Expression Analysis for Cancer Prediction. IEEE Access. 10. 27522–27534. 49 indexed citations
5.
Mu, Mu, et al.. (2019). Abstract Painting Practice: Expanding in a Virtual World. Figshare. 1 indexed citations
6.
Mu, Mu, et al.. (2018). A Comparative Study of the Learning Outcomes and Experience of VR in Education. 685–686. 41 indexed citations
7.
Niamut, Omar, et al.. (2015). STEER: Exploring the dynamic relationship between social information and networked media through experimentation. NECTAR - Northampton Electronic Collection of Thesis and Research (University of Northampton).
8.
Sivrikaya, Fikret, et al.. (2015). Context-aware LDA: Balancing Relevance and Diversity in TV Content Recommenders. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 7 indexed citations
9.
Denazis, Spyros, Odysseas Koufopavlou, Frank den Hartog, et al.. (2012). STEER: A Social Telemedia Environment for Experimental Research. Lancaster EPrints (Lancaster University). 23(5). 86–91.
10.
Kangasharju, Jussi, et al.. (2008). Application-level fairness. Lancaster EPrints (Lancaster University). 4 indexed citations
11.
Oya, Shunichi, Seok-Rye Choi, Catherine Hou, et al.. (2000). 2-((2-((dimethylamino)methyl)phenyl)thio)-5-iodophenylamine (ADAM): an improved serotonin transporter ligand. Nuclear Medicine and Biology. 27(3). 249–254. 139 indexed citations
12.
Zhuang, Zhi‐Ping, Seok-Rye Choi, Catherine Hou, et al.. (2000). A novel serotonin transporter ligand: (5-Iodo-2-(2-dimethylaminomethylphenoxy)-benzyl alcohol. Nuclear Medicine and Biology. 27(2). 169–175. 21 indexed citations
13.
Choi, Seok-Rye, Catherine Hou, Shunichi Oya, et al.. (2000). Selective in vitro and in vivo binding of [125I]ADAM to serotonin transporters in rat brain. Synapse. 38(4). 403–412. 72 indexed citations
14.
Kung, Mei‐Ping, Catherine Hou, Shunichi Oya, et al.. (1999). Characterization of [ 123 I]IDAM as a novel single-photon emission tomography tracer for serotonin transporters. European Journal of Nuclear Medicine and Molecular Imaging. 26(8). 844–853. 53 indexed citations
15.
Mu, Mu, Mei‐Ping Kung, Karl Plößl, et al.. (1999). A simplified method to determine [99mTc]TRODAT-1 in human plasma. Nuclear Medicine and Biology. 26(7). 821–825. 2 indexed citations
16.
Kung, Mei‐Ping, D. Andrew Stevenson, Sanath K. Meegalla, et al.. (1997). [99mTc]TRODAT-1: A novel technetium-99m complex as a dopamine transporter imaging agent. European Journal of Nuclear Medicine and Molecular Imaging. 24(4). 372–380. 130 indexed citations
17.
Kung, Hank F., Dana Frederick, Hee Joung Kim, et al.. (1996). In vivo SPECT imaging of 5-HT1A receptors with [123I]p-MPPI in nonhuman primates. Synapse. 24(3). 273–281. 26 indexed citations
18.
Kung, Mei‐Ping, William D. Essman, Dana Frederick, et al.. (1995). IPT: A novel iodinated ligand for the CNS dopamine transporter. Synapse. 20(4). 316–324. 65 indexed citations
19.
Zhuang, Zhi‐Ping, Mei‐Ping Kung, William P. Clarke, et al.. (1995). Synthesis of (+)‐(R)‐ and (−)‐(S)‐trans‐8‐hydroxy‐2‐[Nn‐propyl‐N‐(3′‐iodo‐2′‐propenyl)] aminotetralin: New 5‐HT1A receptor ligands. Chirality. 7(6). 452–458. 5 indexed citations
20.
Kung, Mei-Ping, et al.. (1994). Derivatives of 4-(2'-Methoxyphenyl)-1-[2'-(N-2''-pyridinyl-p-iodobenzamido)ethyl]piperazine (p-MPPI) as 5-HT1A Ligands. Journal of Medicinal Chemistry. 37(26). 4572–4575. 25 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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