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Rare Chinese character recognition by Radical Extraction Network

Research article (2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2017) · cited 11× · AI/ML
academia openalex:W2775587054
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Rare Chinese character recognition by Radical Extraction Network

Summary

Rare Chinese character recognition by Radical Extraction Network is a scholarly article[1].

Key Facts

  • Rare Chinese character recognition by Radical Extraction Network's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Rare Chinese character recognition by Radical Extraction Network. Retrieved May 24, 2026, from https://4ort.xyz/entity/rare-chinese-character-recognition-by-radical-extraction-network
MLA “Rare Chinese character recognition by Radical Extraction Network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rare-chinese-character-recognition-by-radical-extraction-network.
BibTeX @misc{4ortxyz_rare-chinese-character-recognition-by-radical-extraction-network_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Rare Chinese character recognition by Radical Extraction Network}}, year = {2026}, url = {https://4ort.xyz/entity/rare-chinese-character-recognition-by-radical-extraction-network}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Rare Chinese character recognition by Radical Extraction Network — https://4ort.xyz/entity/rare-chinese-character-recognition-by-radical-extraction-network (retrieved 2026-05-24)

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