Mingyang Zhang

562 total citations
12 papers, 297 citations indexed

About

Mingyang Zhang is a scholar working on Artificial Intelligence, Transportation and Epidemiology. According to data from OpenAlex, Mingyang Zhang has authored 12 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Transportation and 4 papers in Epidemiology. Recurrent topics in Mingyang Zhang's work include Human Mobility and Location-Based Analysis (5 papers), Data-Driven Disease Surveillance (4 papers) and Speech and Audio Processing (2 papers). Mingyang Zhang is often cited by papers focused on Human Mobility and Location-Based Analysis (5 papers), Data-Driven Disease Surveillance (4 papers) and Speech and Audio Processing (2 papers). Mingyang Zhang collaborates with scholars based in China, Hong Kong and United States. Mingyang Zhang's co-authors include Tong Li, Pan Hui, Yong Li, Sasu Tarkoma, Yu Zheng, Yue Yu, Marc Najork, Michael Bendersky, Cheng Li and Jyun‐Yu Jiang and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Internet of Things Journal and IEEE Transactions on Big Data.

In The Last Decade

Mingyang Zhang

12 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingyang Zhang China	8	174	59	51	47	46	12	297
Joydeep Chandra India	12	208 1.2×	38 0.6×	33 0.6×	22 0.5×	56 1.2×	58	384
Marco Luca Sbodio Ireland	11	154 0.9×	130 2.2×	68 1.3×	59 1.3×	65 1.4×	42	414
Xian Wu United States	9	165 0.9×	78 1.3×	12 0.2×	77 1.6×	87 1.9×	17	317
Kasthuri Jayarajah Singapore	11	72 0.4×	143 2.4×	84 1.6×	47 1.0×	33 0.7×	33	333
Weichao Liang China	11	121 0.7×	38 0.6×	17 0.3×	25 0.5×	33 0.7×	23	271
Cen Chen China	11	215 1.2×	62 1.1×	26 0.5×	19 0.4×	23 0.5×	43	349
Rolando Quintero Mexico	10	76 0.4×	26 0.4×	32 0.6×	19 0.4×	21 0.5×	39	260
Johan Koolwaaij Netherlands	11	106 0.6×	111 1.9×	65 1.3×	79 1.7×	9 0.2×	22	325
Tanzima Hashem Bangladesh	13	192 1.1×	100 1.7×	76 1.5×	172 3.7×	27 0.6×	46	458

Countries citing papers authored by Mingyang Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Mingyang Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyang Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Mingyang Zhang. A scholar is included among the top collaborators of Mingyang Zhang 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 Mingyang Zhang. Mingyang Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Xiong, Yun, et al.. (2024). DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning. 301–311. 1 indexed citations

2.

Zhang, Mingyang, Tong Li, & Pan Hui. (2022). CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events. IEEE Transactions on Knowledge and Data Engineering. 35(12). 12125–12138. 4 indexed citations

3.

Li, Tong, Mingyang Zhang, Yong Li, et al.. (2021). The Impact of Covid-19 on Smartphone Usage. IEEE Internet of Things Journal. 8(23). 16723–16733. 32 indexed citations

4.

Zhang, Mingyang, Tong Li, Yue Yu, et al.. (2020). Urban Anomaly Analytics: Description, Detection, and Prediction. IEEE Transactions on Big Data. 8(3). 809–826. 64 indexed citations

5.

Feng, Jie, Yong Li, Zeyu Yang, et al.. (2020). User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data. IEEE Transactions on Knowledge and Data Engineering. 34(2). 954–968. 21 indexed citations

6.

Wang, Zhichao, Yi Zhou, Mingyang Zhang, et al.. (2020). The NUS & NWPU system for Voice Conversion Challenge 2020. 170–174. 3 indexed citations

7.

Li, Tong, Mingyang Zhang, Hancheng Cao, et al.. (2020). ”What Apps Did You Use?”: Understanding the Long-term Evolution of Mobile App Usage. Työväentutkimus Vuosikirja. 66–76. 40 indexed citations

8.

Zhang, Mingyang, Tong Li, Hongzhi Shi, Yong Li, & Pan Hui. (2019). A Decomposition Approach for Urban Anomaly Detection Across Spatiotemporal Data. Työväentutkimus Vuosikirja. 6043–6049. 39 indexed citations

9.

Zhang, Mingyang, et al.. (2019). Multi-view Embedding-based Synonyms for Email Search. 575–584. 7 indexed citations

10.

Jiang, Jyun‐Yu, Mingyang Zhang, Cheng Li, et al.. (2019). Semantic Text Matching for Long-Form Documents. 795–806. 46 indexed citations

11.

Tjandra, Andros, Berrak Şişman, Mingyang Zhang, et al.. (2019). VQVAE Unsupervised Unit Discovery and Multi-Scale Code2Spec Inverter for Zerospeech Challenge 2019. 1118–1122. 37 indexed citations

12.

Zhang, Mingyang, Nan Zhang, & Gautam Das. (2012). Aggregate suppression for enterprise search engines. 469–480. 3 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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