This map shows the geographic impact of Bin Ma'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 Bin Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Ma more than expected).
This network shows the impact of papers produced by Bin Ma. 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 Bin Ma. The network helps show where Bin Ma may publish in the future.
Co-authorship network of co-authors of Bin Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Bin Ma.
A scholar is included among the top collaborators of Bin Ma 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 Bin Ma. Bin Ma is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Xie, Lei, Haihua Xu, Lei Wang, et al.. (2017). Spoken term detection based on DTW. Journal of Tsinghua University(Science and Technology). 57(1). 18–23.3 indexed citations
Lee, Kong Aik, Guangsen Wang, Hanwu Sun, et al.. (2015). The reddots platform for mobile crowd-sourcing of speech data.. Conference of the International Speech Communication Association. 2603–2604.3 indexed citations
6.
Pham, Van Tung, Cheung-Chi Leung, Lei Wang, et al.. (2015). The NNI Query-by-Example System for MediaEval 2015. MediaEval.15 indexed citations
7.
Yang, Peng, Haihua Xu, Xiong Xiao, et al.. (2014). The NNI Query-by-Example System for MediaEval 2014. MediaEval.19 indexed citations
8.
Lu, Xiaoming, Lei Xie, Cheung-Chi Leung, Bin Ma, & Haizhou Li. (2013). Broadcast News Story Segmentation Using Manifold Learning on Latent Topic Distributions. Meeting of the Association for Computational Linguistics. 190–195.3 indexed citations
9.
You, Chang Huai, Haizhou Li, Eliathamby Ambikairajah, Kong Aik Lee, & Bin Ma. (2012). Bhattacharyya-based GMM-SVM System with Adaptive Relevance Factor for Pair Language Recognition. 338–345.1 indexed citations
10.
Ma, Bin, et al.. (2012). Based on fuzzy neural network of multi-agent data fusion. International Conference on Modelling, Identification and Control. 975–980.1 indexed citations
11.
Leung, Cheung-Chi, Bin Ma, & Haizhou Li. (2010). Parallel Acoustic Model Adaptation for Improving Phonotactic Language Recognition.. 41.2 indexed citations
12.
Ng, Raymond W. M., Cheung-Chi Leung, Tan Lee, Bin Ma, & Haizhou Li. (2010). Detection target dependent score calibration for language recognition.. 18.
Li, Haizhou, Bin Ma, Kong Aik Lee, et al.. (2008). NIST 2007 Language Recognition Evaluation: From the Perspective of IIR. Waseda University Repository (Waseda University). 22. 46–57.1 indexed citations
15.
Sun, Hanwu, Tin Lay Nwe, Trung Hieu Nguyen, et al.. (2007). Speaker Diarization Using Direction of Arrival Estimate and Acoustic Feature Information: The I2R-NTU Submission for the NIST RT 2007 Evaluation.. 484–496.3 indexed citations
Keich, Uri, Ming Li, Bin Ma, & John Tromp. (2003). On spaced seeds for similarity search. Discrete Applied Mathematics. 138(3). 253–263.87 indexed citations
19.
Ma, Bin. (2000). A Polynominal Time Approximation Scheme for the Closest Substring Problem. 99–107.7 indexed citations
20.
Lanctot, J. Kevin, et al.. (1999). Distinguishing string selection problems. Symposium on Discrete Algorithms. 633–642.34 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.