Fanheng Kong: h-index, Total Citations, and Citation Map
Fanheng Kong's h-index is 5 (3 i10-index, 467+ total citations across 11+ publications) according to Google Scholar as of May 2026. Fanheng Kong is affiliated with Northeastern University; Kuaishou Technology.
Fanheng Kong is a researcher affiliated with Northeastern University; Kuaishou Technology, specializing in Multimodal LLM, Multimodal Understanding. Their work has been cited 467 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Fanheng Kong's Citation Metrics
Bibliometric impact based on 11 indexed publications.
- H-Index
- 5
- i10-Index
- 3
- Total Citations
- 467
- Citing Countries
- 30
As of May 2026.
Fanheng Kong has an h-index of 5 and 467 total citations across 11 publications, with research cited by institutions in 30 countries.
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Global Impact Map
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Top Cited Works
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Is mamba effective for time series forecasting?
2025376
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
252 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered methods for generating multimodal empathetic responses from scratch, establishing a foundational framework subsequently extended to fine-grained temporal understanding in dynamic video contexts.
The researcher critically evaluated the efficacy of Mamba architectures for time series forecasting, establishing a foundational benchmark that has garnered significant independent scholarly attention.
The researcher developed a modality curation framework for building universal embeddings to advance multimodal information retrieval systems.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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