Co-authorship neighborhood
Qingjin Wang's displayed neighborhood
5 of 5 direct collaborators shown.
Scroll the diagram horizontally to inspect every displayed node.
Ordered author table
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| Display order | Author | Role | Distinct papers | Unique collaborators | Weighted degree | Active span |
|---|---|---|---|---|---|---|
| 1 | Qingjin Wang | Focal | 2 | 5 | 5.0 | 2026 |
| 2 | Haixia Feng | Direct collaborator | 1 | 2 | 2.0 | 2026 |
| 3 | Renbo Shi | Direct collaborator | 1 | 2 | 2.0 | 2026 |
| 4 | Shuai Huang | Direct collaborator | 1 | 3 | 3.0 | 2026 |
| 5 | Tian Lan | Direct collaborator | 1 | 3 | 3.0 | 2026 |
| 6 | Zhengrui Li | Direct collaborator | 1 | 3 | 3.0 | 2026 |
Displayed collaboration table
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| Author pair | Shared papers | Full weight | Fractional weight |
|---|---|---|---|
| Shuai Huang — Tian Lan | 1 | 1 | 0.333 |
| Shuai Huang — Zhengrui Li | 1 | 1 | 0.333 |
| Shuai Huang — Qingjin Wang | 1 | 1 | 0.333 |
| Renbo Shi — Haixia Feng | 1 | 1 | 0.5 |
| Renbo Shi — Qingjin Wang | 1 | 1 | 0.5 |
| Tian Lan — Zhengrui Li | 1 | 1 | 0.333 |
| Tian Lan — Qingjin Wang | 1 | 1 | 0.333 |
| Zhengrui Li — Qingjin Wang | 1 | 1 | 0.333 |
| Haixia Feng — Qingjin Wang | 1 | 1 | 0.5 |
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.