Crossborder: the evidence base

10 publications, by study type. Volume is not strength — the same count can be a settled question or a pile of commentary, and which one it is depends almost entirely on this breakdown. Harvested from PubMed and Crossref; publication type as recorded by the source.

What this literature is made of

A reasonable volume of literature, but weighted towards reviews and observational work rather than trials. That is enough to describe a phenomenon and rarely enough to establish that an intervention works.

The distinction that matters most is between synthesis and primary research. A meta-analysis pools trials and is the closest thing to a settled answer a field produces. A narrative review is one group's reading of the same material and can be selective without being dishonest. Counting them together, which most citation counts do, obscures exactly the thing you want to know.

Still active. The most recent paper here is from 2026, so this is a field where an answer written today may not hold for long. Publication years as recorded by PubMed and Crossref.

How this page is built

Everything above is computed from the citations this site harvested from PubMed and Crossref, not written by hand. When the weekly harvest finds a new paper on this topic, these counts change and the characterisation changes with them. That is the point: a hand-written claim about how strong an evidence base is starts decaying the day it is written.

Publication type is taken as the source records it. That is imperfect — journals label inconsistently, and a paper indexed as a "review" may be a systematic one — so treat the bands as approximate. They are accurate enough to distinguish a trial literature from a commentary literature, which is the distinction that matters.

Overhead view of a hospital bed and locker in a shared ward room — 玄史生 · CC0 · Wikimedia Commons

The strongest work on this topic

Ordered by study design first, then recency. The full set is listed in the references below.

Electric Charging Demand Location Model—A User- and Destination-Based Locating Approach for Electric Vehicle Charging Stations — Pagany R, Marquardt A, Zink R, 2019, journal article
<p>Plugging into Confidence: How Platform Interoperability Reshapes Electric Vehicle Charging Behavior and Charging Network Efficiency</p> — Song P, Lakhiwal A, Park J et al., 2026, journal article
Prediction of Electric Vehicle Charging Load Considering User Travel Characteristics and Charging Behavior — Bian H, Tang X, Ji K et al., 2025, journal article
An Improved Topology Graph and Ant Colony Optimization Approach for Optimizing Electric Vehicle Travel Path Considering Time and Charging Cost — Wei L, 2025, journal article
Electric Vehicle Charging: A Business Intelligence Model — Bousia A, 2025, journal article
Interoperability of the Electric Vehicle Charging Ecosystem — Vedula R, 2024, journal article
OCPP Interoperability: A Unified Future of Charging — Kirchner S, 2024, journal article
Research on Evaluation Method of Electric Vehicle Wireless Charging Interoperability Based on Two Parameter Representation — Sha L, Liu J, Chen Z, 2022, journal article
Electrical Interoperability Evaluating of Wireless Electric Vehicle Charging Systems Based on Impedance Space — Shi B, Yang F, Wei B et al., 2021, journal article
Lightweight infrastructure for electric vehicle charging — Pettersson S, 2015, journal article

How much research is there on crossborder?

10 publications are indexed here, of which 0 are trials and 0 are syntheses.

Does more research mean a stronger conclusion?

No. Composition matters more than volume — five randomised trials support a claim far better than fifty commentaries, and citation counts do not distinguish between them.

How current is this?

The most recent paper indexed here is from 2026. The set is refreshed weekly from PubMed and Crossref.

Why does this page not tell me the answer?

Because summarising a literature into a conclusion requires reading it, and doing that automatically is how confident nonsense gets published. This page tells you how much weight a conclusion could bear; the articles on this site do the interpreting.

References

Every citation below links to the original peer-reviewed record on PubMed or via DOI. Nothing here is a substitute for medical advice.

Electric Charging Demand Location Model—A User- and Destination-Based Locating Approach for Electric Vehicle Charging Stations Pagany R, Marquardt A, Zink R · Sustainability · 2019 · Journal article DOI
<p>Plugging into Confidence: How Platform Interoperability Reshapes Electric Vehicle Charging Behavior and Charging Network Efficiency</p> Song P, Lakhiwal A, Park J, et al. · SSRN Electronic Journal · 2026 · Journal article DOI
An Improved Topology Graph and Ant Colony Optimization Approach for Optimizing Electric Vehicle Travel Path Considering Time and Charging Cost Wei L · Informatica · 2025 · Journal article DOI
Prediction of Electric Vehicle Charging Load Considering User Travel Characteristics and Charging Behavior Bian H, Tang X, Ji K, et al. · World Electric Vehicle Journal · 2025 · Journal article DOI
Electric Vehicle Charging: A Business Intelligence Model Bousia A · World Electric Vehicle Journal · 2025 · Journal article DOI
OCPP Interoperability: A Unified Future of Charging Kirchner S · World Electric Vehicle Journal · 2024 · Journal article DOI
Interoperability of the Electric Vehicle Charging Ecosystem Vedula R · Premier Journal of Science · 2024 · Journal article DOI
Research on Evaluation Method of Electric Vehicle Wireless Charging Interoperability Based on Two Parameter Representation Sha L, Liu J, Chen Z · Processes · 2022 · Journal article DOI
Electrical Interoperability Evaluating of Wireless Electric Vehicle Charging Systems Based on Impedance Space Shi B, Yang F, Wei B, et al. · World Electric Vehicle Journal · 2021 · Journal article DOI
Lightweight infrastructure for electric vehicle charging Pettersson S · World Electric Vehicle Journal · 2015 · Journal article DOI