Minghao Li

998 citations
22 papers · 403 · 1 hit paper · h-index 7

Impact in

Papers in

Minghao Li

19 papers receiving 390 citations

Minghao Li's Hit Papers

TrOCR: Transformer-Based Optical Character Recognition with Pre-trained Models 2023 · 134 citations
1340+1+2Years since publication4080120

Peers

Minghao Li
Comparison fields: 5 of 76
  • Computer Vision and Pattern Recognition 211
  • Surfaces, Coatings and Films 52
  • Media Technology 39
  • Artificial Intelligence 102
  • Information Systems 44
Replace Huanxi Liu with:
Huanxi Liu China
Yuezhou Wu China
Shikun Li China
Byung‐Tak Lee South Korea
Valentina Donzella United Kingdom
Alfons Juan Spain
Shao‐Yun Fang Taiwan
Xing Guo China
Minghao Li relative to Huanxi Liu China Huanxi Liu's profile →
Citations per field
00.5×4.4×
Huanxi Liu · 1×
Citations per year

Countries citing papers authored by Minghao Li

Since Specialization
Citations

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

Fields of papers citing papers by Minghao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Minghao Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Minghao Li Line = papers co-authored together Minghao Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
TrOCR: Transformer-Based Optical Character Recognition with Pre-trained Models
Hit paper breakdown →
2023134
2 202088
3 202252
4
TableBank: Table Benchmark for Image-based Table Detection and Recognition
201933
5 202423
6 202218
7 202215
8 20246
9 20235
10 20245
11 20215
12 20234
13 20213
14 20163
15 20182
16 20202
17 20202
18 20252
19 20101
20 20220

About Minghao Li

Minghao Li is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems, Artificial Intelligence and Media Technology, having authored 22 papers that have together received 403 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (4 papers), IoT and Edge/Fog Computing (4 papers), Handwritten Text Recognition Techniques (3 papers), Vehicle License Plate Recognition (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Face recognition and analysis (2 papers), Surface Modification and Superhydrophobicity (2 papers) and Modular Robots and Swarm Intelligence (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (211 citations), Surfaces, Coatings and Films (52 citations), Media Technology (39 citations), Artificial Intelligence (102 citations) and Information Systems (44 citations). Minghao Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhoujun Li, Furu Wei, Lei Cui, Shaohan Huang, Yijuan Lu, Jingye Chen, Cha Zhang, Dinei Florêncio, Tengchao Lv and Yiheng Xu. Their work appears in journals such as Applied Surface Science, Multimedia Systems, Aerospace Science and Technology, Complexity and International Journal of Extreme Manufacturing.

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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