Mingda Zhang

513 total citations
22 papers, 335 citations indexed

About

Mingda Zhang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Mingda Zhang has authored 22 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Signal Processing. Recurrent topics in Mingda Zhang's work include Multimodal Machine Learning Applications (6 papers), Data Management and Algorithms (5 papers) and Distributed and Parallel Computing Systems (4 papers). Mingda Zhang is often cited by papers focused on Multimodal Machine Learning Applications (6 papers), Data Management and Algorithms (5 papers) and Distributed and Parallel Computing Systems (4 papers). Mingda Zhang collaborates with scholars based in China, United States and Switzerland. Mingda Zhang's co-authors include Zhenyu Tan, Peng Yue, Liping Di, Meiling Gao, Liying Guo, Adriana Kovashka, Liangcun Jiang, Chenxiao Zhang, Jesse Berent and Danfeng Qin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Remote Sensing and Environmental Modelling & Software.

In The Last Decade

Mingda Zhang

19 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingda Zhang China	9	125	98	89	56	48	22	335
Abdessamad Belangour Morocco	13	51 0.4×	84 0.9×	108 1.2×	58 1.0×	11 0.2×	76	460
Barbara Hofer Austria	10	26 0.2×	28 0.3×	65 0.7×	44 0.8×	84 1.8×	25	255
Dorian Gorgan Romania	11	32 0.3×	29 0.3×	79 0.9×	128 2.3×	60 1.3×	101	461
Allae Erraissi Morocco	11	27 0.2×	50 0.5×	54 0.6×	58 1.0×	8 0.2×	38	301
Xueying Zhang China	12	71 0.6×	120 1.2×	181 2.0×	4 0.1×	145 3.0×	31	468
Daniel Nüst Germany	8	36 0.3×	12 0.1×	74 0.8×	121 2.2×	39 0.8×	29	303
Dongying Zhang China	12	27 0.2×	43 0.4×	63 0.7×	16 0.3×	6 0.1×	31	335
Sunitha Abburu India	7	26 0.2×	53 0.5×	113 1.3×	6 0.1×	12 0.3×	17	286
Norbert Widmann Germany	6	44 0.4×	13 0.1×	77 0.9×	70 1.3×	46 1.0×	10	320

Countries citing papers authored by Mingda Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Mingda Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingda Zhang

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

All Works

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20 of 20 papers shown

Wu, Baoyuan, Mingli Zhu, Mingda Zhang, et al.. (2025). Defenses in Adversarial Machine Learning: A Systematic Survey From the Lifecycle Perspective. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(1). 876–895.

Su, Yu-Chuan, Mingda Zhang, Yandong Li, et al.. (2025). Scaling Inference Time Compute for Diffusion Models. 2523–2534.

Qian, Zhiqin, et al.. (2023). A Novel Neural Network Based on Transformer for Polyp Image Segmentation. 2 indexed citations

Zhang, Mingda, Rebecca Hwa, & Adriana Kovashka. (2023). How to Practice VQA on a Resource-limited Target Domain. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 4440–4449. 1 indexed citations

Cheng, Qingping, et al.. (2022). Spatiotemporal variation characteristics of hourly soil temperature in different layers in the low-latitude plateau of China. Frontiers in Environmental Science. 10. 3 indexed citations

Zhang, Mingda, et al.. (2022). Learning to Overcome Noise in Weak Caption Supervision for Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(4). 1–18. 3 indexed citations

Zhang, Mingda, et al.. (2021). Abg-CoQA: Clarifying Ambiguity in Conversational Question Answering. 14 indexed citations

Zhang, Mingda, et al.. (2021). Breaking Shortcuts by Masking for Robust Visual Reasoning. 3519–3529. 3 indexed citations

Zhang, Mingda, et al.. (2021). Domain-robust VQA with diverse datasets and methods but no target labels. 7042–7052. 16 indexed citations

10.

Yue, Peng, et al.. (2020). Geocube: Towards the Multi-Source Geospatial Data Cube in Big Data Era. 3127–3130. 4 indexed citations

11.

Zhang, Mingda, et al.. (2019). Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection. 9685–9694. 31 indexed citations

12.

Zhang, Mingda, et al.. (2019). Interpreting the Rhetoric of Visual Advertisements. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(4). 1308–1323. 22 indexed citations

13.

Tan, Zhenyu, Liping Di, Mingda Zhang, Liying Guo, & Meiling Gao. (2019). An Enhanced Deep Convolutional Model for Spatiotemporal Image Fusion. Remote Sensing. 11(24). 2898–2898. 106 indexed citations

14.

Yue, Peng, et al.. (2016). A geoscientific workflow scripting approach for integration of distributed multiple source geoprocessing packages. 41(10). 164. 1 indexed citations

15.

Hu, Lei, Peng Yue, Mingda Zhang, et al.. (2015). Task-oriented Sensor Web data processing for environmental monitoring. Earth Science Informatics. 8(3). 511–525. 11 indexed citations

16.

Yue, Peng, Mingda Zhang, & Zhenyu Tan. (2015). A geoprocessing workflow system for environmental monitoring and integrated modelling. Environmental Modelling & Software. 69. 128–140. 71 indexed citations

17.

Yue, Peng, et al.. (2015). An SDI Approach for Big Data Analytics: The Case on Sensor Web Event Detection and Geoprocessing Workflow. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 8(10). 4720–4728. 26 indexed citations

18.

Yue, Peng, et al.. (2014). Fuzzy spatial relation ontology driven detection of complex geospatial features in a web service environment. Earth Science Informatics. 8(1). 63–76. 5 indexed citations

19.

Yue, Peng, Chenxiao Zhang, Mingda Zhang, & Liangcun Jiang. (2014). Sensor Web event detection and geoprocessing over Big data. 1401–1404. 2 indexed citations

20.

Zhang, Mingda & Peng Yue. (2013). GeoJModelBuilder: A java implementation of model-driven approach for geoprocessing workflows. 23. 393–397. 8 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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