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Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review. How this is built →

Co-authorship neighborhood

A bounded, provider-scoped projection of shared papers in this corpus. It is not a map of importance, influence, intellectual similarity, geography, or causal relationships.

Yubin Liu's displayed neighborhood

7 of 7 direct collaborators shown.

View profile
1Distinct papers
7Unique collaborators
7.0Full weighted degree
2026Active span
8Component size

Scroll the diagram horizontally to inspect every displayed node.

Co-authorship neighborhood for Yubin Liu A deterministic circular layout of the focal author and up to 20 direct collaborators. Edge thickness represents full shared-paper weight. An ordered table follows the graphic. Yubin Liu Honggang Wang Jiaqi Mi Kexuan Xie Qianya Xu Xuening Wu Yanlan Kang
Circular placement is deterministic and only prevents overlap. Proximity and direction do not measure intellectual, geographic, social, or causal distance. Square = focal author; circles = collaborators; labels identify the focal and highest-weight neighbors.

Ordered author table

Scroll the table horizontally to see every column.

Accessible table equivalent for nodes in the displayed subgraph, ordered with the focal author first and collaborators by selected edge weight. Metrics use each node's full filtered provider scope, not only displayed edges.
Display orderAuthorRoleDistinct papersUnique collaboratorsWeighted degreeActive span
1 Yubin Liu Focal 1 7 7.0 2026
2 Honggang Wang Direct collaborator 1 7 7.0 2026
3 Jiaqi Mi Direct collaborator 1 7 7.0 2026
4 Kexuan Xie Direct collaborator 1 7 7.0 2026
5 Qianya Xu Direct collaborator 1 7 7.0 2026
6 Xuening Wu Direct collaborator 1 7 7.0 2026
7 Yanlan Kang Direct collaborator 1 7 7.0 2026
8 Zeping Chen Direct collaborator 1 7 7.0 2026

Displayed collaboration table

Scroll the table horizontally to see every column.

Undirected co-authorship edges among displayed authors. Each pair is listed once.
Author pairShared papersFull weightFractional weight
Qianya Xu — Jiaqi Mi110.143
Qianya Xu — Yanlan Kang110.143
Qianya Xu — Zeping Chen110.143
Qianya Xu — Kexuan Xie110.143
Qianya Xu — Honggang Wang110.143
Qianya Xu — Xuening Wu110.143
Qianya Xu — Yubin Liu110.143
Jiaqi Mi — Yanlan Kang110.143
Jiaqi Mi — Zeping Chen110.143
Jiaqi Mi — Kexuan Xie110.143
Jiaqi Mi — Honggang Wang110.143
Jiaqi Mi — Xuening Wu110.143
Jiaqi Mi — Yubin Liu110.143
Yanlan Kang — Zeping Chen110.143
Yanlan Kang — Kexuan Xie110.143
Yanlan Kang — Honggang Wang110.143
Yanlan Kang — Xuening Wu110.143
Yanlan Kang — Yubin Liu110.143
Zeping Chen — Kexuan Xie110.143
Zeping Chen — Honggang Wang110.143
Zeping Chen — Xuening Wu110.143
Zeping Chen — Yubin Liu110.143
Kexuan Xie — Honggang Wang110.143
Kexuan Xie — Xuening Wu110.143
Kexuan Xie — Yubin Liu110.143
Honggang Wang — Xuening Wu110.143
Honggang Wang — Yubin Liu110.143
Xuening Wu — Yubin Liu110.143

Graph construction and limits

Each distinct paper contributes an undirected pair for every two eligible identities in its deduplicated latest Semantic Scholar author list. Self-loops are removed. Solo papers count toward an author's paper total but create no edge. The selected display is an ego subgraph. Paper, collaborator, weighted-degree, and active-span metrics for every displayed node use the full filtered provider view; component size describes the focal author's component.

Immutable provider payloads are stored once. A separate receipt log records a later delivery of an earlier payload, so roster reversions remain visible. Exact duplicate receipts are idempotent. Equal timestamps use receipt insertion order as the tie-breaker.

Co-authorship records shared paper attribution only. It does not establish contribution size, research quality, influence, friendship, topic similarity, or citation relationships.