Minghao Hu

1.0k citations
29 papers · 455 indexed · h-index 11
Topics
Topic Modeling (22 papers)Natural Language Processing Techniques (16 papers)Multimodal Machine Learning Applications (7 papers)

In The Last Decade

Minghao Hu

23 papers receiving 426 citations

Peers

Minghao Hu
Comparison fields: 5 of 52
  • Artificial Intelligence 404
  • Computer Vision and Pattern Recognition 137
  • Information Systems 65
  • Management Science and Operations Research 36
  • Molecular Biology 22
Replace Qiaoqiao She with:
Qiaoqiao She China
Xisen Jin United States
Kun Xu China
Panupong Pasupat United States
Zhangming Chan China
Pavan Kapanipathi United States
Abe Ittycheriah United States
Zhaocheng Zhu China
Chenyi Lei China
Pradeep Dasigi United States
Minghao Hu relative to Qiaoqiao She China Qiaoqiao She's profile →
Citations per field
00.5×1.5×
Qiaoqiao She · 1×
Citations per year

Countries citing papers authored by Minghao Hu

Since Specialization
Citations

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

Fields of papers citing papers by Minghao Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minghao Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Minghao Hu. A scholar is included among the top collaborators of Minghao Hu 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 Minghao Hu. Minghao Hu 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
#WorkIndexed citations
1 0
2 0
3 2
4 2
5 1
6 0
7 0
8 0
9 1
10 9
11 32
12 19
13 18
14 1
15 31
16 37
17 77
18
Mnemonic Reader for Machine Comprehension.
11
19
Mnemonic Reader: Machine Comprehension with Iterative Aligning and Multi-hop Answer Pointing
1
20 1

About Minghao Hu

Minghao Hu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Social Sciences, having authored 29 papers that have together received 455 indexed citations. Recurring topics across this work include Topic Modeling (22 papers), Natural Language Processing Techniques (16 papers) and Multimodal Machine Learning Applications (7 papers). The work is most often cited by research in Artificial Intelligence (404 citations), Computer Vision and Pattern Recognition (137 citations) and Management Science and Operations Research (36 citations). Minghao Hu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Zhen Huang, Yuxing Peng, Furu Wei, Dongsheng Li, Fang Liu, Shan Zhao, Zhiping Cai, Xipeng Qiu, Ming Zhou and Nan Yang. Their work appears in journals such as IEEE Access, Sensors and Actuators B Chemical and Advanced Science.

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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