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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.

Tianfei Wu's displayed neighborhood

5 of 5 direct collaborators shown.

View profile
1Distinct papers
5Unique collaborators
5.0Full weighted degree
2026Active span
6Component size

Scroll the diagram horizontally to inspect every displayed node.

Co-authorship neighborhood for Tianfei Wu 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. Tianfei Wu Fangyu Li Liankui Gao Yunli Cheng Zhang Xuhai Ziyang Liu
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 Tianfei Wu Focal 1 5 5.0 2026
2 Fangyu Li Direct collaborator 1 5 5.0 2026
3 Liankui Gao Direct collaborator 1 5 5.0 2026
4 Yunli Cheng Direct collaborator 1 5 5.0 2026
5 Zhang Xuhai Direct collaborator 1 5 5.0 2026
6 Ziyang Liu Direct collaborator 1 5 5.0 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
Zhang Xuhai — Yunli Cheng110.2
Zhang Xuhai — Fangyu Li110.2
Zhang Xuhai — Ziyang Liu110.2
Zhang Xuhai — Tianfei Wu110.2
Zhang Xuhai — Liankui Gao110.2
Yunli Cheng — Fangyu Li110.2
Yunli Cheng — Ziyang Liu110.2
Yunli Cheng — Tianfei Wu110.2
Yunli Cheng — Liankui Gao110.2
Fangyu Li — Ziyang Liu110.2
Fangyu Li — Tianfei Wu110.2
Fangyu Li — Liankui Gao110.2
Ziyang Liu — Tianfei Wu110.2
Ziyang Liu — Liankui Gao110.2
Tianfei Wu — Liankui Gao110.2

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.