Minbo Ma

545 total citations · 1 hit paper
9 papers, 311 citations indexed

About

Minbo Ma is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Atmospheric Science. According to data from OpenAlex, Minbo Ma has authored 9 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Signal Processing and 3 papers in Atmospheric Science. Recurrent topics in Minbo Ma's work include Time Series Analysis and Forecasting (3 papers), Hydrological Forecasting Using AI (2 papers) and Meteorological Phenomena and Simulations (2 papers). Minbo Ma is often cited by papers focused on Time Series Analysis and Forecasting (3 papers), Hydrological Forecasting Using AI (2 papers) and Meteorological Phenomena and Simulations (2 papers). Minbo Ma collaborates with scholars based in China, Denmark and United Arab Emirates. Minbo Ma's co-authors include Tianrui Li, Chongshou Li, Hongjun Wang, Peng Xie, Junbo Zhang, Shenggong Ji, Wei Huang, Ping Deng, Dexian Wang and Pengfei Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Minbo Ma

9 papers receiving 303 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Long sequence time-series forecasting with deep learning: A survey

2023 164 citations Minbo Ma, Tianrui Li et al. Information Fusion profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Minbo Ma China	7	113	63	56	52	52	9	311
Deqiang Kong China	5	106 0.9×	59 0.9×	107 1.9×	73 1.4×	77 1.5×	7	452
King Ma Canada	4	109 1.0×	71 1.1×	69 1.2×	16 0.3×	58 1.1×	11	348
Shouxu Jiang China	7	80 0.7×	60 1.0×	59 1.1×	31 0.6×	30 0.6×	27	374
Pius Kwao Gadosey China	5	73 0.6×	30 0.5×	77 1.4×	55 1.1×	69 1.3×	10	320
Zhuoning Yuan United States	6	135 1.2×	47 0.7×	39 0.7×	68 1.3×	25 0.5×	16	471
Nima Reyhani Finland	6	158 1.4×	70 1.1×	110 2.0×	31 0.6×	114 2.2×	19	388
Wendong Zheng China	9	136 1.2×	97 1.5×	92 1.6×	34 0.7×	78 1.5×	13	364
Edoardo Prezioso Italy	9	115 1.0×	33 0.5×	20 0.4×	23 0.4×	24 0.5×	23	298
Essam Al Daoud Jordan	8	106 0.9×	59 0.9×	36 0.6×	37 0.7×	21 0.4×	20	334

Countries citing papers authored by Minbo Ma

Since Specialization

Citations

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

Fields of papers citing papers by Minbo Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minbo Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Minbo Ma. A scholar is included among the top collaborators of Minbo 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 Minbo Ma. Minbo Ma 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:

9 of 9 papers shown

1.

Ma, Minbo, Jilin Hu, Christian S. Jensen, et al.. (2024). Learning Time-Aware Graph Structures for Spatially Correlated Time Series Forecasting. VBN Forskningsportal (Aalborg Universitet). 4435–4448. 5 indexed citations

2.

Wang, Bin, et al.. (2024). DeepWind: a heterogeneous spatio-temporal model for wind forecasting. Knowledge-Based Systems. 286. 111385–111385. 11 indexed citations

3.

Wang, Jie, et al.. (2023). Cross-modal incongruity aligning and collaborating for multi-modal sarcasm detection. Information Fusion. 103. 102132–102132. 18 indexed citations

4.

Xie, Peng, Minbo Ma, Tianrui Li, et al.. (2023). Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction. IEEE Transactions on Knowledge and Data Engineering. 35(10). 9973–9984. 26 indexed citations

5.

Ma, Minbo, Peng Xie, Fei Teng, et al.. (2023). HiSTGNN: Hierarchical spatio-temporal graph neural network for weather forecasting. Information Sciences. 648. 119580–119580. 33 indexed citations

6.

Wang, Dexian, Tianrui Li, Wei Huang, et al.. (2023). A multi-view clustering algorithm based on deep semi-NMF. Information Fusion. 99. 101884–101884. 46 indexed citations

7.

Ma, Minbo, et al.. (2023). Long sequence time-series forecasting with deep learning: A survey. Information Fusion. 97. 101819–101819. 164 indexed citations breakdown →

8.

Ma, Minbo, et al.. (2023). DBAFormer: A Double-Branch Attention Transformer for Long-Term Time Series Forecasting. SHILAP Revista de lepidopterología. 3(3). 263–274. 6 indexed citations

9.

Li, Yang, et al.. (2023). Integrating Multi Spatial-Temporal Information with Globally Attentive Gated Convolutional Network for Transmission Line Icing Tension Prediction. 208–214. 2 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.

Explore authors with similar magnitude of impact