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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.

Di Wang'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 Di Wang 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. Di Wang Chaoyue He Chunyan Miao Hong Xu Wei Liu Xin Zhou
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 Di Wang Focal 1 5 5.0 2026
2 Chaoyue He Direct collaborator 1 5 5.0 2026
3 Chunyan Miao Direct collaborator 1 5 5.0 2026
4 Hong Xu Direct collaborator 1 5 5.0 2026
5 Wei Liu Direct collaborator 1 5 5.0 2026
6 Xin Zhou 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
Chaoyue He — Wei Liu110.2
Chaoyue He — Xin Zhou110.2
Chaoyue He — Chunyan Miao110.2
Chaoyue He — Hong Xu110.2
Chaoyue He — Di Wang110.2
Wei Liu — Xin Zhou110.2
Wei Liu — Chunyan Miao110.2
Wei Liu — Hong Xu110.2
Wei Liu — Di Wang110.2
Xin Zhou — Chunyan Miao110.2
Xin Zhou — Hong Xu110.2
Xin Zhou — Di Wang110.2
Chunyan Miao — Hong Xu110.2
Chunyan Miao — Di Wang110.2
Hong Xu — Di Wang110.2

Graph construction and limits

Each distinct paper contributes an undirected pair for every two eligible identities in its deduplicated latest OpenAlex 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.