Tingting Mu

1.7k total citations
82 papers, 1.2k citations indexed

About

Tingting Mu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Tingting Mu has authored 82 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 38 papers in Computer Vision and Pattern Recognition and 13 papers in Molecular Biology. Recurrent topics in Tingting Mu's work include Topic Modeling (14 papers), Face and Expression Recognition (14 papers) and Text and Document Classification Technologies (10 papers). Tingting Mu is often cited by papers focused on Topic Modeling (14 papers), Face and Expression Recognition (14 papers) and Text and Document Classification Technologies (10 papers). Tingting Mu collaborates with scholars based in United Kingdom, China and United States. Tingting Mu's co-authors include John Y. Goulermas, Asoke K. Nandi, Meng Wang, Sophia Ananiadou, Jianmin Jiang, Rangaraj M. Rangayyan, Yanbin Hao, Yan Wang, Danushka Bollegala and Richang Hong and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Tingting Mu

77 papers receiving 1.2k citations

Peers

Tingting Mu
Jin Li China
Yueting Xu China
Shtwai Alsubai Saudi Arabia
Hongwei Ge China
Prospero C. Naval Philippines
Bo Dai United States
Jin Li China
Tingting Mu
Citations per year, relative to Tingting Mu Tingting Mu (= 1×) peers Jin Li

Countries citing papers authored by Tingting Mu

Since Specialization
Citations

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

Fields of papers citing papers by Tingting Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingting Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Tingting Mu. A scholar is included among the top collaborators of Tingting 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 Tingting Mu. Tingting 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.
He, Jingxuan, Lechao Cheng, Chaowei Fang, et al.. (2024). Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 2085–2093. 4 indexed citations
2.
Mu, Tingting, et al.. (2024). Tailoring highland barley bran arabinoxylans: Insights into composition, structure, and functional properties. Food Bioscience. 62. 105125–105125. 4 indexed citations
3.
Mu, Tingting, Xinde Zheng, Danjun Song, et al.. (2024). Deep learning based on multiparametric MRI predicts early recurrence in hepatocellular carcinoma patients with solitary tumors ≤5 cm. European Journal of Radiology Open. 13. 100610–100610. 1 indexed citations
4.
Mu, Tingting, et al.. (2023). Adapting Data-Driven Techniques to Improve Surrogate Machine Learning Model Performance. IEEE Access. 11. 23909–23925. 2 indexed citations
5.
He, Caian, Xiaojiao Liu, Haiyan Zhang, et al.. (2023). Enhancement of the release of phenolic compounds from white and black Qingke bran by autoclaving and fermentation treatments. Food Bioscience. 53. 102696–102696. 18 indexed citations
6.
Mu, Tingting, et al.. (2023). Memory-Aware Attentive Control for Community Question Answering With Knowledge-Based Dual Refinement. IEEE Transactions on Systems Man and Cybernetics Systems. 53(7). 3930–3943. 9 indexed citations
7.
Mu, Tingting, et al.. (2023). Faster Riemannian Newton-type optimization by subsampling and cubic regularization. Machine Learning. 112(9). 3527–3589.
8.
Mu, Tingting, et al.. (2020). Building interactive sentence-aware representation based on generative language model for community question answering. Neurocomputing. 389. 93–107. 9 indexed citations
9.
Mu, Tingting, et al.. (2020). An Interpretable Deep Architecture for Similarity Learning Built Upon Hierarchical Concepts. IEEE Transactions on Image Processing. 29. 3911–3926. 10 indexed citations
10.
Brockmeier, Austin J., et al.. (2019). Circular object arrangement using spherical embeddings. Pattern Recognition. 103. 107192–107192. 3 indexed citations
11.
Hao, Yanbin, Tingting Mu, Richang Hong, et al.. (2019). Cross-Domain Sentiment Encoding through Stochastic Word Embedding. IEEE Transactions on Knowledge and Data Engineering. 32(10). 1909–1922. 33 indexed citations
12.
Brockmeier, Austin J., Tingting Mu, Sophia Ananiadou, & John Y. Goulermas. (2018). Self-Tuned Descriptive Document Clustering Using a Predictive Network. IEEE Transactions on Knowledge and Data Engineering. 30(10). 1929–1942. 11 indexed citations
13.
Mu, Tingting, John Y. Goulermas, & Sophia Ananiadou. (2017). Data Visualization with Structural Control of Global Cohort and Local Data Neighborhoods. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(6). 1323–1337. 8 indexed citations
14.
Mu, Tingting, et al.. (2017). Translating on pairwise entity space for knowledge graph embedding. Neurocomputing. 260. 411–419. 7 indexed citations
15.
Pataky, Todd C., Kerstin Bosch, Tingting Mu, et al.. (2011). An anatomically unbiased foot template for inter-subject plantar pressure evaluation. Gait & Posture. 33(3). 418–422. 17 indexed citations
16.
Mu, Tingting, et al.. (2010). Imbalanced Classification Using Dictionary-based Prototypes and Hierarchical Decision Rules for Entity Sense Disambiguation. Research Explorer (The University of Manchester). 851–859. 2 indexed citations
17.
Mu, Tingting & Asoke K. Nandi. (2009). Multiclass Classification Based on Extended Support Vector Data Description. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 39(5). 1206–1216. 55 indexed citations
18.
Mu, Tingting, Asoke K. Nandi, & Rangaraj M. Rangayyan. (2008). Screening of knee-joint vibroarthrographic signals using the strict 2-surface proximal classifier and genetic algorithm. Computers in Biology and Medicine. 38(10). 1103–1111. 17 indexed citations
19.
Mu, Tingting, Asoke K. Nandi, & Rangaraj M. Rangayyan. (2007). Classification of breast masses via nonlinear transformation of features based on a kernel matrix. Medical & Biological Engineering & Computing. 45(8). 769–780. 19 indexed citations
20.
Mu, Tingting, Asoke K. Nandi, & Rangaraj M. Rangayyan. (2007). Strict 2-Surface Proximal Classification of Knee-joint Vibroarthrographic Signals. Conference proceedings. 23. 4911–4914. 9 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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