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Xing Li

4 papers hereh-index 9479 citations117 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author2
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CC1
  • cs.DS1
  • physics.soc-ph1
  • q-bio.BM1
same name
  • Xing Li — 18 papers, h 24
  • Xing Li — 17 papers, h 5
  • Xing Li — 10 papers, h 9
  • Xing Li — 6 papers, h 4
  • Xing Li — 6 papers, h 3
  • Xing Li — 5 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20072026
most citedNew Insights into Traffic Dynamics: A Weighted Probabilistic Cellular Automaton Model

15 citations · 29 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CC2026

Complexity of Sequence-to-Graph Alignment with Co-Linear Chaining

Xingfu Li

Sequence alignment is a cornerstone technique in computational biology for assessing similarities and differences among biological sequences. A key variant, sequence-to-graph align…

cs.DS2026

Polynomial-Time Solutions for Longest Common Subsequence Related Problems Between a Sequence and a Pangenome Graph

Xingfu Li, Yongping Wang

A pangenome captures the genetic diversity across multiple individuals simultaneously, providing a more comprehensive reference for genome analysis than a single linear genome, whi…

q-bio.BM2024★ 14 cited

HiCat: A Semi-Supervised Approach for Cell Type Annotation

Chang Bi, Kailun Bai, Xing Li +1

We introduce HiCat (Hybrid Cell Annotation using Transformative embeddings), a novel semi-supervised pipeline for annotating cell types from single-cell RNA sequencing data. HiCat…

physics.soc-ph2007★ 15 cited

New Insights into Traffic Dynamics: A Weighted Probabilistic Cellular Automaton Model

X. L. Li, H. Kuang, T. Song +2

From the macroscopic viewpoint for describing the acceleration behavior of drivers, this letter presents a weighted probabilistic cellular automaton model (the WP model, for short)…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.