Xiang Ma

418 total citations
21 papers, 255 citations indexed

About

Xiang Ma is a scholar working on Management Science and Operations Research, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Xiang Ma has authored 21 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Management Science and Operations Research, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Signal Processing. Recurrent topics in Xiang Ma's work include Stock Market Forecasting Methods (10 papers), Time Series Analysis and Forecasting (6 papers) and Energy Load and Power Forecasting (5 papers). Xiang Ma is often cited by papers focused on Stock Market Forecasting Methods (10 papers), Time Series Analysis and Forecasting (6 papers) and Energy Load and Power Forecasting (5 papers). Xiang Ma collaborates with scholars based in China, United States and Philippines. Xiang Ma's co-authors include Xuemei Li, Caiming Zhang, Caiming Zhang, Shuo Li, Qiang Guo, Hua Wang, Hua Wang, Xingtong Chen, Yuanfeng Zhou and Yepeng Liu and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and Information Sciences.

In The Last Decade

Xiang Ma

19 papers receiving 252 citations

Peers

Xiang Ma
Comparison fields: 5 of 53
  • Management Science and Operations Research 159
  • Electrical and Electronic Engineering 93
  • Signal Processing 59
  • Economics and Econometrics 58
  • Artificial Intelligence 55
Replace Xiongwen Pang with:
Xiongwen Pang China
Ehsan Hoseinzade Canada
Dadabada Pradeepkumar India
Heyuan Wang China
Arnav Wadhwa India
Qianggang Ding China
Shivam Agarwal India
Anita Yadav India
Sudarsan Padhy India
Akito Sakurai Japan
Xiongwen Pang China View profile →
Citations per field, relative to Xiang Ma
Xiang Ma · 1×
Citations per year, relative to Xiang Ma
Xiang Ma · 1×

Countries citing papers authored by Xiang Ma

Since Specialization
Citations

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

Fields of papers citing papers by Xiang Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Xiang Ma. A scholar is included among the top collaborators of Xiang 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 Xiang Ma. Xiang Ma 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
# Work Indexed citations
1 4
2 3
3 1
4 7
5 11
6 0
7 18
8 12
9 25
10 8
11 36
12 74
13 1
14 14
15 2
16 2
17 8
18 2
19 1
20 1

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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